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myVAD
- myvad speech recognition matlab code important
speechcode1
- 语音识别Matlab测试程序（带GUI）。 Matlab P File-Speech Recognition test procedures (GUI). Matlab P File
majorproject
- Speech Recognition Speech Recognition Speech Recognition Speech Recognition-Speech Recognition Speech RecognitionSpeech Recognition Speech RecognitionSpeech Recognition Speech Recognition
Project2
- Speech Recognition Analysis Speech Recognition Analysis -Speech Recognition Analysis Speech Recognition Analysis Speech Recognition Analysis Speech Recognition Analysis
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
speechcode1
- neural network speech recognition.
lpc_recognition
- Filter bank representation methods for speech recognition and LPC recognition system
lpc_training
- LPC training and representation methods for speech recognition.
voicebox
- this is speech recognition file
lpcc
- 本源码为语音识别中lpcc（线性预测倒谱系数）的计算方法。经试验，可用。为方便大家理解，关键语句和函数后面都加上了注释。-The source code for speech recognition in lpcc (Linear Prediction Cepstrum Coefficient) is calculated. After testing, can be used. To facilitate the understanding of everyone, the key behin
maltab
- 盲信号用于语音识别maltab程序代码,里面有相关语音文件，很不错-Speech Recognition for Blind Signal maltab code, which are related to audio files, it is good
recognition
- this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements i
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
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
DigRecog
- Demonstration for Digit Recognition (and later speech recognition) using HMM Models
Pattern.Recognition.in.Speech.and.Language.Proces
- PATTERN RECOGNITION OF SPEECH USING MATLAB
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
Speech_recognition_with_DTW
- A source code of a speech recognition system based on DTW
Matlab_Packages.tgz
- Speech recognition matlab code
Final
- Speech recognition system