| 摘要 |
<p>A method for collecting data associated with the voice of a voice system user includes conducting a conversation with the user, capturing and digitizing a speech waveform of the user, extracting at least one acoustic feature from the digitized speech waveform and storing attribute data corresponding to the acoustic feature, together with an identifying indicia, in the data warehouse in a form to facilitate subsequent data mining. User attributes can include gender, age, accent, native language, dialect, socioeconomic classification, educational level and emotional state. Data gathering can be repeated for a large number of users, until sufficient data is present. The attribute data to be stored can include raw acoustic features, or processed features, such as the user's emotional state, age, gender, socioeconomic group, and the like. In an alternative form of method, the user attribute can be used to real-time modify behavior of the voice system, with or without storage of data for subsequent data mining. <IMAGE></p> |
