对于特定人连续语音识别系统和非特定人连接词识别系统，在使用不同的特征矢量时，不同编码器产生的识别效果有比较大的差异。
Using different feature vectors, the effect of the vocoders differs on speaker dependent continuous speech recognition and speaker independent connected digits recognition.
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.
在非特定人自然的人体动作识别中，基元特征能够大大降低参数的离散度，提高系统抗噪声能力、鲁棒性和识别率。
Primitives can reduce the scatter of the motion parameters greatly and improve the subject-independent action recognition rate and robustness.
最后，完成了基于本文混合模型的非特定人小词汇量连续语音识别系统的设计和实现，通过大量试验验证了此混合模型的有效性和适用性。
Finally, it design a small-vocabulary continuous speech recognition system based on the mixed model, through experimental verify the validity and serviceability of the mixed model.
最后，完成了基于本文混合模型的非特定人小词汇量连续语音识别系统的设计和实现，通过大量试验验证了此混合模型的有效性和适用性。
Finally, it design a small-vocabulary continuous speech recognition system based on the mixed model, through experimental verify the validity and serviceability of the mixed model.
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