A speech recognition system must expend significant processing to turn your speech into text.
语音识别系统必须付出大量的处理把您的语音转为文本。
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。
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%。
Speech recognition has wide use in the field of communication and so on. Speech feature parameter extraction is an important part of the speech recognition system.
语音识别在通信等领域有着广泛的用途，其中语音特征参数提取是语音识别系统的一个重要组成部分。
A framework model of independent speech recognition system based on the flexible and extensible architecture is put forward, and some correlative theories are introduced.
提出了一个柔性可扩展体系结构非特定人语音识别系统的框架模型，介绍了相关实现原理。
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。
This paper presents an audiovisual continuous speech recognition system for noise environments.
识别实验表明，文中建立的音频视频连续语音识别系统具有很好的抗噪性。
A robust speech recognition system in high noise environment is introduced and its performance is discussed in this paper.
开发了一高噪声环境下特定人孤立词的语音识别系统，讨论了系统性能的考核情况。
It introduces speech recognition system based on interval data of passing zero, refers some crucial technology and the design flow of the system.
介绍了基于过零间隔点技术的声纹识别系统和其中一些关键技术和系统的设计流程。
Based on 16 bits SCM SPCE061A, the software and hardware of a speech recognition system are provided in the paper.
文章给出了基于16位单片机SPCE061A的语音识别系统的软件和硬件设计。
The paper provides a method for designing a set of isolated speech recognition system for the purpose of reducing expense in recognition calculation.
提出了一种以降低识别计算代价为目标的孤立词语音识别系统的设计算法。
On a pragmatic speech recognition system, in order to make the recognition accuracy as high as possible, syntax constraint can be used.
在实用语音识别系统中，为了尽可能提高识别准确度，可以借助词语间的约束关系来辅助话句的判识。
Thesis aims to design an embedded speech recognition system, and to do some research about its promotion and application.
论文的主要工作是设计了一个嵌入式的语音识别系统，并对它的推广使用做了一些研究。
In Chapter four, it introduces establishment of speech corpus and recording of a Mongolain speech recognition system basing on HMM.
第四章介绍了蒙古语语音识别系统的语料库与语音库的建立。
A whole continuous speech recognition system includes four parts: feature extraction, acoustic model, language models and search algorithms, and the thesis is carried out according to them.
完整的连续语音识别系统主要包括四个部分：特征提取，声学模型，语言模型和搜索算法，本文就是根据这四个部分展开的。
Mandarin digit speech recognition system has been widely used in different regions in the past decades.
近年来汉语数字语音识别系统越来越广泛的应用于各个领域。
In this paper a universal real-time speech recognition system-RTSRS (01) is described.
本文描述一个通用实时语言识别系统——rtsrs (01)。
To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.
针对上述问题，结合隐马尔可夫模型原理，在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。
Traditional speech recognition system has an intrinsic defect that, commonly only use the acoustic model of speech and unable to use non-acoustic knowledge of language to recognize speech.
仅仅依靠语音信号的声学模型来进行语音识别，存在着不能利用语言的非声学知识的固有缺陷。
Using the inhomogeneous HMM is a potential way to improve the performance of speech recognition system.
非齐次hmm模型是提高语音识别性能的潜在的重要方法。
To the problem of lower recognition rate of traditional speech recognition system, this paper presents an improved method based on wavelet transform and evolutionary algorithm.
针对传统语音识别系统识别率较低的问题，提出了一种基于小波变换和进化算法的改进方法。
In this way the interactive speech recognition system may react to noise conditions that are inappropriate for generating reliable speech recognition.
通过这种方式，本发明的语音识别系统能够对不适合用于生成可靠语音识别的噪声条件作出反应。
And probe into the problem of how to project a speech recognition system base on the hardware, also the problem of pitch estimation.
并探讨语音识别在硬件上的实现以及基音周期估值等具体问题。
The chosen speech feature parameters have great effects on robustness and real-time of the speech recognition system.
特征参数的选取对整个语音识别系统的实时性、鲁棒性有很大的影响。
It generally requires a large number of speech data for a speech recognition system to train HMM by the BW algorithm.
用传统的BW算法训练语音识别系统的H MM需要大量的语音数据。
This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
文章实现了声调特征提取的算法，并主要研究了如何应用这些特征，才能最大限度地发挥声调信息的作用，提高识别系统的性能。
The system selects SPCE061A as MCU of speech recognition system.
系统采用凌阳SPCE061A单片机作为语音识别系统的主控芯片。
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。
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。
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