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Large Vocabulary Mandarin Chinese Continuous Speech Recognition System Based on Tonal Triphone

机译:大型词汇普通话中文连续语音识别系统基于音调三锚

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Large vocabulary mandarin Chinese continuous speech recognition has been a difficult problem in speech recognition area because of several reasons. First, it is a tone language. There are five lexical tones that are important in distinguishing the confusable words in mandarin. So the modeling of tones plays an important role in mandarin speech recognition. Second, the variation of tones in spontaneous mandarin speech would have some effects on the performance. Third, the co-articulation is inevitable in spontaneous mandarin speech recognition. In this paper, a large vocabulary mandarin Chinese continuous system based on tonal triphone was constructed. The experimental results shows that a good performance in acoustic level has been achieved while poor performance in word level.
机译:大号词汇普通话中国连续语音识别在语音识别区域难以存在,因为有几个原因。 首先,它是一种语言。 有五种词汇色调,在普通话中区分可混乱的词语是重要的。 因此,音调的建模在普通话语音识别中起着重要作用。 其次,自发普通话语音中音调的变化会对性能产生一些影响。 第三,在自发的普通话语音识别中是不可避免的共关节。 本文建立了一个基于音调三极管的大型词汇普通话连续系统。 实验结果表明,声学水平的良好性能已经实现,而词水平的性能差。

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