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Hidden conditional random field models for phonetic classification and speech recognition
Hidden conditional random field models for phonetic classification and speech recognition
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机译:隐藏条件随机场模型用于语音分类和语音识别
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摘要
A method and apparatus are provided for training and using a hidden conditional random field model for speech recognition and phonetic classification. The hidden conditional random field model uses feature functions, at least one of which is based on a hidden state in a phonetic unit. Values for the feature functions are determined from a segment of speech, and these values are used to identify a phonetic unit for the segment of speech.
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