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vad端点检测
- 这是一个用c++编写的用于语音端点检测的源码。希望有用的快下载，对你的学习有帮助的
vad.rar
- voice activity detector (VAD),voice activity detector (VAD)
vad
- 语音活动识别vad算法，另外有算法的相关文献。应该会有帮助-Voice Activity recognition vad algorithm, another algorithm of the relevant literature. Should be helpful
VAD
- 语音信号的端点检测程序 可以清晰的分辨出静音段和语音段 并自动绘图-VAD program
vad
- 这是语音识别系统中的端点检测的程序，可以参考进行优化-This is a speech recognition system endpoint detection process, can be optimized reference
Voice.detection.source.code
- 集成了enframe语音的帧分段，wavread wav语音文件的读取，vad端点识别，DTW等m文件。-Integrated enframe voice frame section, wavread wav sound files to read, vad endpoint identification, DTW and other m files.
vad
- 用于语音端点检测，可以将连续语音分割为孤立词。-For voice activity detection, continuous speech can be split into isolated words.
VAD
- voice activity detection
vadpy
- 这是一个语音信号处理的小程序，包含有VAD算法，自己学习了一下，挺好用的，希望对大家有用-voice activity detection algorithm,
vad
- 对信号进行预处理 包括幅度归一化，并计算过零率、短时能量并调整能量门限。-The signal preprocessing including the amplitude normalization, and calculate the zero crossing rate, and adjust the energy of the short-term energy threshold.
VAD-method
- 基于matlab利用顺序滤波器方法进行语音端点检测的算法实现代码-Sequential filter method based on matlab voice endpoint detection algorithm code
vad
- MATLAB环境下，对输入的语音信号进行端点检测子程序。-MATLAB environment, the input voice signal endpoint detection subroutine.
VAD-1
- C语言实现的端点检测,具有良好的效果,对于做语音识别者来说，是很好的参考-C language implementation of endpoint detection, with good results
vad
- 利用语音方差的特点实现语音检测的matlab代码和c源代码。-Characteristics of variance using voice voice detection matlab code and c source code.
VAD
- 语音检测matlab代码，简单的示范了语音检测的条件，并给予了注释。-voice activity detection
convertEventlabels
- convert QUM NOISE DATABASE event labels into vad decisions
ch12
- zcr : ampzcr.m -- short time energy and zero crossing rate program vad.m -- endpoint detection
WebRTC_VAD
- 编译过的WEBRTC VAD代码，VC编译通过，能调试。(WEBRTC VAD codes, vritual c++.)
VAD
- 简单VAD实现 Windows VS2010环境下实现(Simple VAD implementation Implementation of Windows VS2010 environment)
webrtc抽离vad算法+test demo
- webrtc抽离vad算法+test demo(Webrtc VAD algorithm + test demo)