发明名称 |
Spoken Utterance Classification Training for a Speech Recognition System |
摘要 |
The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.
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申请公布号 |
US2013159000(A1) |
申请公布日期 |
2013.06.20 |
申请号 |
US201113326659 |
申请日期 |
2011.12.15 |
申请人 |
JU YUN-CHENG;DROPPO, III JAMES GARNET;MICROSOFT CORPORATION |
发明人 |
JU YUN-CHENG;DROPPO, III JAMES GARNET |
分类号 |
G10L15/04 |
主分类号 |
G10L15/04 |
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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