搜索资源列表
endpointdetection
- 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
RBF
- 基于RBF神经网络的语音识别方法的应用研究-RBF neural network-based speech recognition methods applied research
speech-recognation
- 基于MATLAB的语音识别系统 speech recognation-speech recognation
MATLAB-YUYINSHIBIE
- 这是语音识别的几个程序，包括语音的特征提取、端点检测的程序。-This is the number of speech recognition procedures, including the voice feature extraction, endpoint detection procedure.
main
- 语音识别的实现程序，主要着重于 连续语音，对初学者和程序员都有帮助-The realization of speech recognition procedures, focusing on continuous speech, for both beginners and programmers to help
mel_endpoint2
- 语音识别程序。有需要的抓紧啦。用MATLAB实现的。-Speech recognition procedures. You need to have the grasp. Achieved using MATLAB.
vad
- 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
april5
- 用matlab实现语音识别，通过耳麦说出前后左右来控制及其运动-Speech recognition using matlab to achieve through the headset out and around to control the movement
speechR
- 基于matlab的语音识别 用matlab仿真0到9十个数字的语音识别-speech recognition based on matlab
F2_6764
- 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处
DTWspeechrecognition
- 基于DTW的孤立词语音识别程序,Matlab环境-DTW-based isolated word speech recognition program, Matlab environment
fftvq
- 小波变换加VQ语音识别程序。用小波变换来提高语音特征的性能，从而提高VQ算法的识别率-Wavelet transform plus VQ speech recognition program. Using wavelet transform to improve the performance of speech features to enhance the recognition rate of VQ algorithms
ASR_matlab
- 语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。-ASR use HMM and DTW method include wave files use for test and training.
voiceenergy
- 语音识别，能量计算，过零率检测，发生点检测，用于音符切分-Speech recognition, energy calculation, zero-crossing rate detection, point detection occurs for note segmentation
exampleProgram
- DTW-语音识别，是在matlab中做的，比较方便快捷了。-DTW-speech recognition, in matlab to do, the more convenient of the.
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
SpeechRecognition
- hmm算法实现的语音识别程序压缩包，内涵多个文件。-Speech Recognition
IsolatedDigitRecognition
- Matlab下单字语音识别程序。Readme.txt中有使用方法的详细说明。-Vocabulary speech recognition under the program Matlab. Readme.txt in detail using the method.
matlab
- 语音识别预处理matlab实现，包括端点检测，预加重，加窗-Speech recognition pre matlab implementation, including endpoint detection, pre-emphasis, windowing
MFCC
- 介绍语音识别中特征参数mfcc的改进算法，对于语音识别和语音合成有更好的效率-Introduction of speech recognition feature parameters mfcc improved algorithm for speech recognition and speech synthesis for better efficiency