- 专利标题: Sampling training data for an automatic speech recognition system based on a benchmark classification distribution
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申请号: US13456671申请日: 2012-04-26
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公开(公告)号: US08374865B1公开(公告)日: 2013-02-12
- 发明人: Fadi Biadsy , Pedro J. Moreno Mengibar , Kaisuke Nakajima , Daniel Martin Bikel
- 申请人: Fadi Biadsy , Pedro J. Moreno Mengibar , Kaisuke Nakajima , Daniel Martin Bikel
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 代理机构: McDonnell Boehnen Hulbert & Berghoff LLP
- 主分类号: G10L15/06
- IPC分类号: G10L15/06 ; G10L15/08
摘要:
A set of benchmark text strings may be classified to provide a set of benchmark classifications. The benchmark text strings in the set may correspond to a benchmark corpus of benchmark utterances in a particular language. A benchmark classification distribution of the set of benchmark classifications may be determined. A respective classification for each text string in a corpus of text strings may also be determined. Text strings from the corpus of text strings may be sampled to form a training corpus of training text strings such that the classifications of the training text strings have a training text string classification distribution that is based on the benchmark classification distribution. The training corpus of training text strings may be used to train an automatic speech recognition (ASR) system.
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