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语音识别的前期研究
- 本课题为给语音识别系统提供语音信号端点检测的功能，对语音信号端点检测进行了探讨和研究,主要是侧重语音区间的端点检测...(附软件源码)-Voice Active Detection (VAD) is discussed in this project. Detection between speech section and speechless section and emphasized.(code available).
JiurlVadSee
- jiurl写的一个查看VAD的程序,有参考价值-jiurl write a check VAD procedures, reference value
VAD-DTW-HMM
- 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
voice464
- 基于dtw算法的语音识别 1 ENFRAME.M和MELBANKM.M取自voicebox工具箱 2 vad.m实现端点检测 3 mfcc.m计算mfcc参数 4 dtw.m实现DTW算法[训练] dtw2.m实现DTW高效算法 5 testdtw.m测试程序-based speech recognition algorithm and a ENFRAME.M MELBANKM.M from v oicebox Toolbox 2 vad.m ach
VAD_2
- 该程序是AMR-WB+声码器中的VAD（Voice Activity Detection）程序.测试时使用8kHz采样率,16bit量化的wav文件. -AMR-WB Vocoder the VAD (Voice Activity Dete ction) program. test the use of 8 kHz sampling rate and 16bit wav quantify the document.
vad
- VAD.M 用于语音识别的端点检测函数，matlab-Endpoint detection function VAD.M for speech recognition, matlab
pulseaudio-vad-master
- VAD检测，在linux中语音活性检测，非常实用-VAD detection
VAD(Matlab-code)
- VAD matlab implementation
VAD
- Silk VAD noise level estimation.
VAD
- VAD人声断点监测 支持AMR编码方式。1为监测到人声的帧，0为未监测到人声的帧。-Voice Activity Detection (VAD) for AMR
Robust-VAD
- In this method voice activity detection (VAD) is formulated as a two class classification problem using support vector machines (SVM). The proposed method combines a noise robust feature extraction process together with SVM models trained in differen
LRT--VAD
- 利用likelihood ratios模型来进行VAD检测。压缩包中包含了参考文献和所用语音-utilize likelihood ratios test to model the voice activity detection。File includs reference paper and speech which used in the test
Voice Discern For STM32F
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
VAD
- 附件内容为从Webrtc程序中抠出来的VAD检测算法-Webrtc VAD code
-Speech-VAD---2007---Mark-Hasegawa-Johnson
- this one vad source code-this is one vad source code
用短时平均能量和短时平均过零率双门限检测VAD
- 用短时平均能量和过零率的特征参数对语音信号进行端点检测， 以消除静默帧和噪声帧的干扰
vad
- 读入bluesky.wav数据，用vad函数进行有话帧和无话帧检测，最后进行端点检测(Read into the bluesky.wav data, using VAD function for frame and no frame detection, and finally the 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
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)