发明名称 |
LEARNING IN AUTOMATIC SPEECH RECOGNITION |
摘要 |
Utterance data that includes at least a small amount of manually transcribed data is provided. Automatic speech recognition is performed on ones of the utterance data not having a corresponding manual transcription to produce automatically transcribed utterances. A model is trained using all of the manually transcribed data and the automatically transcribed utterances. A predetermined number of utterances not having a corresponding manual transcription are intelligently selected and manually transcribed. Ones of the automatically transcribed data as well as ones having a corresponding manual transcription are labeled. In another aspect of the invention, audio data is mined from at least one source, and a language model is trained for call classification from the mined audio data to produce a language model. |
申请公布号 |
HK1095013(A1) |
申请公布日期 |
2009.05.29 |
申请号 |
HK20070101337 |
申请日期 |
2007.02.05 |
申请人 |
AT&T CORP. |
发明人 |
HAKKANI-TUR, DILEK Z.;RAHIM, MAZIN G.;TUR, GOKHAN;RICCARDI, GIUSEPPE |
分类号 |
G10L |
主分类号 |
G10L |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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