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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
123
- 语音端点检测-Speech Endpoint Detection
endpoint_subfunc
- 再matlab下面实现音乐信号的端点检测。 算法是利用帧长-sign
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
duan
- 这个里面的程序是关于语音信号的端点检测的matlab资料-The inside of the program is on the endpoint detection of speech signal data matlab
dbdoor
- 双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测。-double door ,speech endpoint detection two games adjust itself
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
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.
nengliang1
- 语音端点检测，门限法包括短时能量、过零率-Voice activity detection, threshold laws, including the short-term energy, zero crossing rate, etc.
1355
- 语言头文件信息和短时能量分析，端点检测，语音是被-Language header information and short-term energy analysis, endpoint detection, speech is
Language-endpoint-detection-
- 短时能量 过零率 语音端点检测 连续语音-Short-term energy Zero crossing rate Voice activity detection
duandian
- 利用双门限判别方法实现语音的端点检测，个人编写并以调试通过。-The use of dual-threshold discrimination method voice endpoint detection, personal writing and through to commissioning.
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
study1
- 在matlab环境下实现语音信号的预处理，包括分帧，加窗，滤波，并进行端点检测，绘图。-Voice signal preprocessing in the Matlab environment, including the frame, windowing, filtering, and endpoint detection, drawing.
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.
dtw2
- matlab代码，对输入的语音信号进行端点检测程序源码，改进的dtw算法。-Matlab code, the input voice signal endpoint detection program source code.
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
speech-endpoint-detection
- 语音端点检测程序,在Matlab环境下实现。-speech endpoint detection
jiance
- 可以用于一段语音信号的端点检测，并显示其起始点和终止点(Endpoint detection for a speech signal)
mfcc
- 语音端点检测,利用梅尔频率和谱熵进行的语音端点检测(voice activity detection)