For complete guidance about how to achieve an effective speech recognition system using a fixed vocabulary, see the VoxForge site.
关于如何使用固定词汇表获得高效语音识别系统的完整指南，请参考VoxForge网站。
Speech recognition is a technology that always seems two to 10 years away from speaker-independent recognition of a large vocabulary.
要实现与说话者不相关的大型词汇表识别，语言识别技术还要2到10年的路要走。
The formant and corresponding bandwidth parameters result in a correct recognition rate of 98% in a small vocabulary mandarin speech recognition system.
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%。
Through the discussion of vector quantization parameter's choice, the result that for medium vocabulary speech recognition, the codebook capacity should be 64 or 128 is made.
通过矢量量化参数选取的讨论，得到对于中等词汇量的语言识别，矢量量化的码本大小应为64或128的结论。
A specific speaker, isolated words recognition system for small amount of vocabulary is presented.
本文论述了一种小词汇量的特定人孤立字实时识别系统。
The present study aims to contribute to the understanding of the role of second language output by exploring the effects of output-oriented activities on vocabulary recognition and production.
本研究旨在通过实验探求输出型活动对词汇识别和产出的影响，从而达到近一步研究二语输出作用的目的。
In this paper, the word out of vocabulary and misrecognition are rejected to cut down the recognition faults, improve the system recognition ratio and reduce the false acceptance ratio.
本论文针对词库外的词汇和错误识别进行拒识，以期达到减少识别错误，提高系统的识别率，降低虚警率的目的。
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。
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。
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。
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。
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。
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%。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
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。
The experiments showed that for a small vocabulary including 15 words, the method obtained the average recognition rate of 98.3%, which almost equal to the rate in normal environment.
实验结果表明，本方法对应力影响下的变异语音具有良好识别效果，对15个词的小词表，系统平均识别率达到98.3%，与正常语音的识别率基本相当。
Based on this, a signer dependent large vocabulary sign language recognition system was designed and implemented.
在此基础上实现了大词汇量手语识别系统。
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。
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.
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。
And when the false reject rate is 5%, the recognition rate of in-vocabulary-speech is 95%.
对集内发音拒识率为5%时，集内发音识别率达到95%。
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。
For the application of large vocabulary word lists to embedded speech recognition, an efficient two-layer graph search algorithm is proposed.
为了满足超大词表语法的识别任务在嵌入式语音识别系统上的应用，提出了一种高效的双层图搜索算法。
The present study investigates relationships between three modalities of vocabulary knowledge (passive recognition, active recall and free active written) within two different learning contexts.
本研究探讨了三层面英语词汇量的关系：消极认知、积极回忆和写作词汇。
This paper studies some technologies, which mainly exploit INITIAL/FINAL units as recognition unit for Large-vocabulary recognition.
本文主要研究了大词汇量汉语语音识别技术，针对汉语语音识别的特点，采用声韵母基元作为识别基元。
To personalize nature and to consider everything with human as basis are the basis of recognition of producing the body vocabulary.
把自然人格化，以人为中心看待万物，是人体词语产生的认知基础。
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。
It averaged out a recognition pattern for each word. He proceeded to build up a vocabulary of fifteen unspoken English words that the computer could recognize.
他继续建立单词本，包括15个未说出口的英语单词，以使电脑能识别。
It averaged out a recognition pattern for each word. He proceeded to build up a vocabulary of fifteen unspoken English words that the computer could recognize.
他继续建立单词本，包括15个未说出口的英语单词，以使电脑能识别。
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