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This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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Hidden Markov Toolkit (HTK) 3.2.1
HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) an
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Automatic Speech Recognition Echo Canceller.files-Automatic Speech Recognition Echo Cancel ler.files
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SimpleSpeech是一个使用HMM的自动语音识别系统。对象是研究的学生和对自动语音识别有兴趣的研究工作者。-SimpleSpeech HMM is a use of the Automated Voice Recognition System. The object is to study the students and Automatic Speech Recognition to interested researchers.
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Embedded reference memory in automatic speech recognition systems.pdf
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Introduction Applications Comparing Automatic Speech Recognition(ASR) versus image processing About ASR Types of ASR and differences ASR by Hidden Markova Models Overall recognition system Isolated word recognition
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应用HTK建立的语音识别系统，PPT文档,Application of HTK speech recognition system established, PPT document
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这个是有关于语音识别的的书籍，上面有很多基本原理和MATLAB的例子-This is a reference book for automatic speech recognition with matlab codes.
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Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a p
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自动语音识别源码对非特定人的孤立词语音识别算法
进行研究。考虑到语音识别技术在嵌入式系统处理能力较弱、存储空间有限的问
题上进行算法的选择和优化，以提高系统的鲁棒性，减少系统的
-Automatic speech recognition source code for non-specific human isolated word speech recognition algorithm research. Taking into account the voice recogni
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凌阳子程序大全+++趣味语音识别程序+++61板自检程序+++语音电子钟程序+++语音识别且识别过程在图形液晶显示模组LCD上显示实验+++复读机程序+++数据传送指令演示程序+++冒泡排序程序+++LED键盘模组自检程序+++led单向循环流水灯程序+++点亮IOA口外接LED键盘模组的不同的led来显示按键输入值+++外部中断实验+++触键唤醒实验+++IRQ5,4,6时基信号中断实验+++定时器实验+++定时器A/B的irq0、irq1和irq2中断实验+++双路DAC实验+++ADC转换
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语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域，语音检测是必需的。对于自动语音识别，端点检测在分离重要语音信息时是必需的，这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
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在语音识别系统中，端点检测的目的是要区分语音段和非语音段 ,它在自动语音识别中起着关键作用-In speech recognition systems, the purpose of endpoint detection is to distinguish between voice and non-voice segment, which in automatic speech recognition plays a key role
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语音自动识别技术，采用C++编程，可以给做语音识别的提供参考-Automatic speech recognition technology, using C++ programming, you can do to provide a reference for Speech Recognition
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Hidden Markov Models and its Application in Automatic Speech Recognition
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Automatic Speech and Speaker Recognition
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Automatic Speech Recognition with HTK
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speech recognision is used to develop automatic speech regonision system and also to normalise it and then map it to a particular user voice.
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Speech recognition (SR) is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as "au
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STC单片机+LD3320语音芯片实现语音识别控制LED灯的亮灭(STC single-chip microcomputer +LD3320 speech chip realizes speech recognition to control LED lights)
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