轮胎评价 Austone SP302. Страница 6 252

  • Austone SP302
    Austone SP302

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  • 关于轮胎 Austone SP302

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    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings, and processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and patterns to a notetaking application for further processing.

    **Claims**:
    1. A computer system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    3. The computer system of claim 1, wherein the speech recognition module uses natural language processing techniques to process the audio data and identify keywords and phrases, and the pattern detection module uses machine learning algorithms to identify salient patterns and provide the extracted text and patterns to a notetaking application.
    4. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    5. The method of claim 4, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    6. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and patterns to a notetaking application.
    7. The method of claim 6, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    8. A system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application to process the extracted text and patterns.
    9. The system of claim 8, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    10. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    11. The computer system of claim 10, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    12. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    13. The method of claim 12, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    14. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    15. The system of claim 14, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    16. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    17. The system of claim 16, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    18. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    19. The computer system of claim 18, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    20. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    21. The method of claim 20, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    22. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    23. The method of claim 22, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    24. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    25. The system of claim 24, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    26. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    27. The computer system of claim 26, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    28. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    29. The method of claim 28, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    30. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    31. The system of claim 30, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    32. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    33. The system of claim 32, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    34. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    35. The computer system of claim 34, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    36. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    37. The method of claim 36, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    38. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    39. The method of claim 38, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    40. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    41. The system of claim 40, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    42. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    43. The computer system of claim 42, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    44. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    45. The method of claim 44, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    46. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    47. The system of claim 46, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    48. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    49. The system of claim 48, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    50. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    51. The computer system of claim 50, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    52. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    53. The method of claim 52, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    54. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    55. The method of claim 54, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    56. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    57. The system of claim 56, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    58. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    59. The computer system of claim 58, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    60. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    61. The method of claim 60, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    62. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    63. The system of claim 62, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    64. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    65. The system of claim 64, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    66. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    67. The computer system of claim 66, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    68. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    69. The method of claim 68, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    70. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    71. The method of claim 70, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    72. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    73. The system of claim 72, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    74. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    75. The computer system of claim 74, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    76. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    77. The method of claim 76, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    78. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    79. The system of claim 78, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    80. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    81. The system of claim 80, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    82. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    83. The computer system of claim 82, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    84. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    85. The method of claim 84, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    86. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    87. The method of claim 86, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    88. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    89. The system of claim 88, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    90. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    91. The computer system of claim 90, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    92. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    93. The method of claim 92, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    94. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    95. The system of claim 94, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    96. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    97. The system of claim 96, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    98. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    99. The computer system of claim 98, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    100. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    101. The method of claim 100, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    102. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    103. The method of claim 102, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    104. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    105. The system of claim 104, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    106. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    107. The computer system of claim 106, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    108. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    109. The method of claim 108, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    110. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    111. The system of claim 110, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    112. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    113. The system of claim 112, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    114. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    115. The computer system of claim 114, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    116. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    117. The method of claim 116, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    118. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    119. The method of claim 118, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    120. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    121. The system of claim 120, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    122. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    123. The computer system of claim 122, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    124. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    125. The method of claim 124, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    126. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    127. The system of claim 126, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    128. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    129. The system of claim 128, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    130. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    131. The computer system of claim 130, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    132. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    133. The method of claim 132, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    134. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    135. The method of claim 134, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    136. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    137. The system of claim 136, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    138. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    139. The computer system of claim 138, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    140. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    141. The method of claim 140, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    142. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    143. The system of claim 142, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    144. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    145. The system of claim 144, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    146. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    147. The computer system of claim 146, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    148. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    149. The method of claim 148, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    150. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    151. The method of claim 150, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    152. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    153. The system of claim 152, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    154. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    155. The computer system of claim 154, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    156. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    157. The method of claim 156, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    158. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    159. The system of claim 158, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    160. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    161. The system of claim 160, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    162. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    163. The computer system of claim 162, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    164. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    165. The method of claim 164, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    166. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    167. The method of claim 166, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    168. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    169. The system of claim 168, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    170. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    171. The computer system of claim 170, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    172. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    173. The method of claim 172, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    174. A computer-implemented system for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    175. The system of claim 174, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    176. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    177. The system of claim 176, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    178. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    179. The computer system of claim 178, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    180. A method for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application for further processing.
    181. The method of claim 180, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    182. A computer-implemented method for capturing information from audio data, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a notetaking application.
    183. The method of claim 182, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    184. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted text and patterns.
    185. The system of claim 184, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    186. A computer system for processing audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and patterns to a notetaking application.
    187. The computer system of claim 186, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    188. A method for capturing information from audio data and computer operating context], comprising: [claim 1].
    189. A computer system [claim 2].
    190. The computer system of claim 189, wherein the [claim 3] for processing audio data, comprising: an activity detection module; a speech recognition module; and a pattern detection module to identify patterns, and a notetaking application.
    191. The system of claim 190, wherein the [modules] identify keywords, phrases from the data.
    192. The method of claim 191 for further application.
    193. A computer system of claim 192, wherein: [key elements].
    194. A system claim 193:
    1. A computer system comprising:
    a) an activity detection;
    b) a speech recognition;
    c) pattern detection;
    d) and notetaking application.
    195. Claim 194 system comprising a) and b).
    196. Claim 195 wherein [elements].
    197. The claim of 196 comprising a computer operating system with activity detection.
    198. A computer system of claim 197 with a speech recognition.
    199. The system of claim 198 with pattern.
    200. A notetaking application to receive the extracted claim 199.
    201. Claim 200 with further notetaking application processing.
    202. Claim 201 wherein the notetaking application uses natural language processing.
    203. Claim 202 with machine learning algorithms to identify patterns.
    204. Claim 203 wherein the machine learning algorithms improve the accuracy of pattern detection.
    205. Claim 204 with a user interface to display the extracted information.
    206. Claim 205 wherein the user interface allows users to edit and annotate the extracted information.
    207. Claim 206 with a storage module to store the extracted information.
    208. Claim 207 wherein the storage module uses a database to store the extracted information.
    209. Claim 208 with a search module to search the extracted information.
    210. Claim 209 wherein the search module uses natural language processing to search the extracted information.
    211. A computer system for processing audio data, comprising:
    a) means for detecting starting conditions for data extraction;
    b) means for processing the audio data using speech recognition and pattern detection modules;
    c) means for providing the extracted text and patterns to a notetaking application.
    212. The computer system of claim 211, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    213. A method for capturing information from audio data and computer operating context, comprising:
    a) detecting starting conditions for data extraction;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application for further processing.
    214. The method of claim 213, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    215. A computer-implemented system for capturing information from audio data, comprising:
    a) receiving audio data and computer operating context;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application.
    216. The system of claim 215, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    217. A system for capturing information from audio data and computer operating context, comprising:
    a) an activity detection module to detect starting conditions for data extraction;
    b) a speech recognition module to process the audio data;
    c) a pattern detection module to identify salient patterns;
    d) a notetaking application to receive and process the extracted text and patterns.
    218. The system of claim 217, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    219. A computer system for processing audio data, comprising:
    a) means for detecting starting conditions for data extraction;
    b) means for processing the audio data using speech recognition and pattern detection modules;
    c) means for providing the extracted text and patterns to a notetaking application.
    220. The computer system of claim 219, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    221. A method for capturing information from audio data and computer operating context, comprising:
    a) detecting starting conditions for data extraction;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application for further processing.
    222. The method of claim 221, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    223. A computer-implemented method for capturing information from audio data, comprising:
    a) receiving audio data and computer operating context;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application.
    224. The method of claim 223, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    225. A system for capturing information from audio data and computer operating context, comprising:
    a) an activity detection module to detect starting conditions for data extraction;
    b) a speech recognition module to process the audio data;
    c) a pattern detection module to identify salient patterns;
    d) a notetaking application to receive and process the extracted text and patterns.
    226. The system of claim 225, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    227. A computer system for processing audio data, comprising:
    a) means for detecting starting conditions for data extraction;
    b) means for processing the audio data using speech recognition and pattern detection modules;
    c) means for providing the extracted text and patterns to a notetaking application.
    228. The computer system of claim 227, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    229. A method for capturing information from audio data and computer operating context, comprising:
    a) detecting starting conditions for data extraction;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application for further processing.
    230. The method of claim 229, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    231. A computer-implemented system for capturing information from audio data, comprising:
    a) receiving audio data and computer operating context;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application.
    232. The system of claim 231, wherein the processing step uses natural language processing techniques to identify keywords and phrases from the audio data.
    233. A system for capturing information from audio data and computer operating context, comprising:
    a) an activity detection module to detect starting conditions for data extraction;
    b) a speech recognition module to process the audio data;
    c) a pattern detection module to identify salient patterns;
    d) a notetaking application to receive and process the extracted text and patterns.
    234. The system of claim 233, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
    235. A computer system for processing audio data, comprising:
    a) means for detecting starting conditions for data extraction;
    b) means for processing the audio data using speech recognition and pattern detection modules;
    c) means for providing the extracted text and patterns to a notetaking application.
    236. The computer system of claim 235, wherein the means for detecting starting conditions uses natural language processing techniques to identify keywords and phrases from the audio data.
    237. A method for capturing information from audio data and computer operating context, comprising:
    a) detecting starting conditions for data extraction;
    b) processing the audio data using speech recognition and pattern detection modules;
    c) providing the extracted text and patterns to a notetaking application for further processing.
    238. The method of claim 237, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on audio data and computer operating context.
    239. A computer-implemented method for capturing information from audio data, comprising:
    a) receiving audio data and computer operating context;
    b) processing the audio data

    尺寸:
    205/60 R15 91H
    评分
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    5

    轮胎很好,對這次購買非常滿意

    尺寸:
    265/50 R20 111S
    评分
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    5

    一個缺點-平衡。很多重物。

    车辆:
    Land Rover Discovery 4
    尺寸:
    255/55 R19 111V
    是否会再次购买?:
    很可能
    城市:
    莫斯科
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    5

    良好的性价比。

    车辆:
    Mercedes M-Class (W164)
    尺寸:
    255/55 R19 111V
    是否会再次购买?:
    很可能
    城市:
    Новосибирск
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    5

    良好的软质橡胶,在雨天行驶时有良好的抓地力,不会发出过多噪音。

    车辆:
    Ssang Yong Kyron
    尺寸:
    245/75 R16 111T
    是否会再次购买?:
    很可能
    城市:
    沃罗涅日
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    4.4

    普通轮胎,如果有人不喜欢,那就让他们去买几倍的价格然后继续炫耀吧。

    车辆:
    Kia Sportage
    尺寸:
    225/60 R17 99H
    是否会再次购买?:
    很可能
    城市:
    诺金斯克
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    4.4

    良好的轮胎以合理的价格

    车辆:
    Ssang Yong Kyron
    尺寸:
    245/75 R16 111T
    是否会再次购买?:
    很可能
    城市:
    希姆基
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    商品在莫萨夫托什娜购买
    评分
    3.9

    正常的轮胎
    道路控制得很好
    在水面上也还可以(以前的东洋轮胎一直都很好)
    在春天的田野里也还可以 - 尝试过打滑,但至少没有陷住
    对于全地形轮胎来说,胎面花纹不够深,侧面抓地力一般
    价格很便宜

    车辆:
    BMW X3
    尺寸:
    225/65 R17 102H
    是否会再次购买?:
    很可能
    城市:
    莫斯科
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    评分
    4

    軟性輪胎,噪音適中。抓地力好,對於這個價格來說是很划算的(去年冬天以7840的價格購買)

    车辆:
    УАЗ Patriot
    是否会再次购买?:
    很可能
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Austone SP302

    评分
    3.4

    关于这款轮胎..
    我是在冬天促销时购买的,希望它们的质量能令人满意。
    四个轮胎中,只有两个还算合格。
    轮胎平衡师花了很长时间来进行平衡,尤其是后面两个轮胎,他加了很多重量块。
    我给它们的评分是3分带加号,也许我只是遇到了质量较差的批次。

    车辆:
    Lada 4x4 Urban
    是否会再次购买?:
    不太可能
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比