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。
Therefore, the digital speech recognition system has a highly practical value.
因此，数字语音识别具有非常高的实用价值。
In this paper a real time Parcel Post Checking Speech Recognition System is developed.
本文研究开发了一套邮包信息校核语音识别系统。
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)。
Therefore, the speech recognition system has a very high research and practical value.
因此，语音识别系统具有非常高的研究与实用价值。
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。
Then, focus on research and design of DSP-based Speech Recognition System Hardware Design.
接着，着重研究了基于DSP的语音识别系统的硬件设计。
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。
Embedded Speech Recognition System (ESRS) plays a key role in HMSI system and has a large market.
因此嵌入式语音识别系统作为嵌入式人机语音交互系统的核心，有非常广阔的应用领域。
The research in the text is the embedded Speech Recognition System based on SPCE061A Microcontroller.
本文所研究的是基于SPCE061 A单片机的嵌入式语音识别系统。
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。
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。
This paper proposes an algorithm based on likelihood difference for isolated-word speech recognition system.
本文提出了一种孤立词语音识别系统中基于后验概率差值的拒识算法。
This paper introduces the improvements of the linguistic decoder of the real-time speech recognition system.
该文介绍了在语音识别语言层搜索中为了实时化的需要所做的改进。
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 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。
The experiments also show that the audio-visual continuous speech recognition system is robust in noisy environments.
基于特征口形的音频-视频混合连续语音识别系统具有很好的抗噪性。
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。
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。
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 will create a wider space for application of the Speech Recognition system to further develop and optimize the subject.
对本课题进行进一步研究和优化，将对语音识别技术的应用开辟更广阔的空间。
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。
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。
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。
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。
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。
Language recognition is a significant component of multilingual human-machine interface, as the front end of a speech recognition system.
语种识别是多语言人机接口的重要组成部分，主要用于系统前端。
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。
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。
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