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。
The system employs large vocabulary continuous speech recognition engine in front speech input end.
而语言模型、语法及词法模型在中、大词汇量连续语音识别中是非常重要的。
Furthermore it is very important that we use language model, syntax and accidence model in middle or big glossary continuous speech recognition.
本课题旨在研究和开发一个具有自然交谈风格的大词汇量连续语音识别系统。
The research will lead to a new recognition system for the spontaneous and conversational speech.
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。
In this paper, error tolerant techniques are studied for large vocabulary speaker independent Chinese continuous speech recognition and understanding systems.
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。
If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised.
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%。
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%.
该系统利用大词汇量非特定人连续语音识别技术与口语对话模型实现了智能熊猫系统的人机知识问答。
Human-ma-chine interlocution of Smartpanda System is implemented by means of speaker independent continuous speech recognition technology and dialogue model.
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。
In Chinese speech recognition, the speech recognition ratio of continuous large vocabulary is comparatively poor.
应用推荐