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HIDDEN CONDITIONAL RANDOM FIELD MODELS FOR PHONETIC CLASSIFICATION AND SPEECH RECOGNITION

机译:语音分类和语音识别的隐藏条件随机场模型

摘要

Speech recognition method and apparatus used to train and Hidden Conditional Random Field model for voice classification is provided . Hidden conditional random field model is to use the features , at least one of the features is based on the hidden state in the audio unit . Values for the features are determined from a segment of speech , then this value is used to identify a phonetic unit for the speech segment .
机译:提供了一种语音识别方法和装置,用于训练和隐藏条件随机场模型进行语音分类。隐藏条件随机场模型是要使用的特征,其中至少一个特征是基于音频单元中的隐藏状态。从语音片段中确定特征的值,然后使用该值来识别语音片段的语音单位。

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