本文论述了一种小词汇量的特定人孤立字实时识别系统。
A specific speaker, isolated words recognition system for small amount of vocabulary is presented.
把共振峰作为特征参数用于一个小词汇量的汉语语音识别系统中，识别正确率达到了98%。
The formant and corresponding bandwidth parameters result in a correct recognition rate of 98% in a small vocabulary mandarin speech recognition system.
现在，你的问题大概更基础：发音上的错误，小词汇量，现在完成时的和条件句的结构的语法问题。
Right now, your problems are probably more basic: mistakes in pronunciation, small vocabulary, grammar problems with the present perfect tense and conditional structures.
利用小词汇量混合语音识别系统中的HMM状态所形成的规则的二维阵列，对状态观测概率进行分解。
By using the regular two-dimensional array of HMM states in a hybrid speech recognition system with small vocabulary size, the factorization of observation probabilities is performed.
研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
本文结合汉语语音特点，在TMS320VC5507芯片上实现了高性能特定人与非特定人中小词汇量孤立词识别系统。
Combined with characteristics of Chinese speech language, this paper presents a speaker dependent and independent medium and small vocabulary isolated words recognition system based on TMS320VC5507.
本文就这点针对小词汇量的关键词检测系统提出了基于音节格的废料模型，它有效的减少了系统的检测时间并提高了系统的检测率。
A garbage model based syllable lattice is expounded in the paper for small wordage keyword spotting system, by low detection time and high diction rate.
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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