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SPEECH DIALECT CLASSIFICATION FOR AUTOMATIC SPEECH RECOGNITION

机译:自动语音识别的语音方言分类

摘要

Automatic speech recognition including receiving speech via a microphone, pre-processing the received speech to generate acoustic feature vectors, classifying dialect of the received speech, selecting at least one of an acoustic model or a lexicon specific to the classified dialect, decoding the acoustic feature vectors using a processor and at least one of the selected dialect-specific acoustic model or selected lexicon to produce a plurality of hypotheses for the received speech, and post-processing the plurality of hypotheses to identify one of the plurality of hypotheses as the received speech.
机译:自动语音识别包括:通过麦克风接收语音,预处理接收到的语音以生成声学特征向量,对接收到的语音的方言进行分类,选择声学模型或专用于已分类方言的词典中的至少一种,对声学特征进行解码使用处理器和选定的方言特定的声学模型或选定的词典中的至少一个向量来生成向量,以针对接收到的语音生成多个假设,并对这些假设进行后处理,以将多个假设之一识别为接收到的语音。

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