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Modeling context-dependent phonetic units in a continuous speech recognition system for Mandarin Chinese

机译:在普通话中的连续语音识别系统中建模上下文相关语音单元

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Studies the problem of phonetic modeling for continuous Mandarin speech recognition by providing a systematic performance comparison for systems based on following primitive speech units: syllables, demi-syllables (initial and final), context-independent phones, left-or-right context-dependent phones (diphones) and left-and-right context-dependent phones (triphones). In our speaker-dependent continuous speech recognition experiments, a generalized triphone system has achieved the best performance of all. Our best system is in contrast to most other Mandarin speech recognition systems, which have been based on demi-syllable units.
机译:基于以下原始语音单元的系统性能比较为系统性能比较提供系统性能比较来研究持续普通话语音识别的问题:音节,Demi-syllables(初始和最终和最终),无关的电话,左或右上下文依赖手机(偶像)和左右上下文相关的手机(Triphones)。在我们的扬声器依赖性的连续语音识别实验中,一般性的三磡系统已经实现了所有的性能。我们的最佳系统与大多数其他普通话语音识别系统相反,这是基于Demi-Syllable单位的。

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