Invention Grant
- Patent Title: Unsupervised and active learning in automatic speech recognition for call classification
- Patent Title (中): 无监督和主动学习自动语音识别呼叫分类
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Application No.: US11063910Application Date: 2005-02-23
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Publication No.: US08818808B2Publication Date: 2014-08-26
- Inventor: Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
- Applicant: Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: G10L15/06
- IPC: G10L15/06

Abstract:
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.
Public/Granted literature
- US20060190253A1 Unsupervised and active learning in automatic speech recognition for call classification Public/Granted day:2006-08-24
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