The system employs large vocabulary continuous speech recognition engine in front speech input end.
系统中的语音识别引擎使用的是大词汇量连续语音识别技术。
Large vocabulary continuous speech recognition system consists of several components, and recognition errors are caused by different factors.
大词表连续语音识别系统由多个组件构成，识别错误受多种因素的影响。
Large vocabulary continuous speech recognition is main direction of speech recognition research at present, in which the research on particularity of tone recognition is an important work.
大词汇连续语音识别是当前语音识别研究的主流，探讨其中声调识别的特殊性是一项有意义的工作。
In this paper, error tolerant techniques are studied for large vocabulary speaker independent Chinese continuous speech recognition and understanding systems.
本文研究了大词汇量非特定人汉语连续语音识别和理解系统中的容错技术。
The experimental results on large vocabulary continuous Mandarin speech recognition show when the number of Gaussians is reduced by 25%, the recognition accuracy increases by 0.15%.
对大词汇量汉语连续语音识别的实验结果表明：高斯模糊聚类使高斯数减少25%时，识别率提高了0.15%。
If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised.
若能把连续大词汇量的语音进行实时自动切分为单个音节，便可提高系统的识别率。
In Chinese speech recognition, the speech recognition ratio of continuous large vocabulary is comparatively poor.
汉语语音识别中连续大词汇量的语音识别率较差。
In Chinese speech recognition, the speech recognition ratio of continuous large vocabulary is comparatively poor.
汉语语音识别中连续大词汇量的语音识别率较差。
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