搜索资源列表
Overview-VAD
- overview all approach to detect voice
webrtc_vad
- WebRTC中提取出来的vad检测代码，目前读取全部为1。希望各位高手能够修正。-WEBrtc vad dection，now has a problem,read all data is 1,hope others can resolve it.
vad1
- 双门限的VAD代码，可用。带有实验语音数据。-Double threshold of VAD code available. Experiment with voice data.
vad
- 双门限端点检测。因为低噪声导致假过零率的产生，进行了算法改进。可以直接调用函数运行，亲测-Dual threshold endpoint detection. Because of the low noise cause false over-produce zero rate, the algorithm was improved. It can directly call the function run, pro-test
vad
- 关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并
vad
- liunx环境下的语音端点检测程序，使用alsa声卡进行读取数据，最长支持四秒的语音片段-liunx environment voice endpoint detection procedures
STM32-Speech-Recognition-Master
- 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
- 在语音识别中来完成对语音信号的端点检测以便于减少冗余-In speech recognition to complete the speech signal endpoint detection in order to facilitate the reduction of redundancy
vad
- 改程序的功能：在进行语音识别时，完成对采集到的语音信号进行端点检测-The app features: when making the speech recognition, complete the acquisition to the endpoint detection of speech signal
nlms
- New algorithm for speech compression noise, a noise reduction of speech based vad method. This new algorithm derived vad technology and spectral subtraction, it firstly deal with the noise signal vad, then the masking threshold is based on perception
webrtc_vad
- VAD语音活动检测，在linux下编译，带测试程序，本vad库由webrtc中单独抽取出来编译而成。-VAD voice activity detection, under the Linux compiler, with testing procedures, the VAD library by webrtc extracted a separate.
vad_dector
- 一个简单的VAD检测器并附带了一个测试用的音频文件-a simple vad detector
vadDetect
- 语音激活检测算法，安装好VS_2010即可直接编译，关联的文件里面都有。(Voice activity detection. Build by VS_2010. And there are all the files you need.)
train
- 基于BP网络和多特征的语音端点检测，提取自相关函数最大值和频带方差作为BP网络输入，输出判断是否为语音信号。(A Speech Endpoint Detection Algorithm Based on BP Neural Network and Multiple Features)
voicejiangzao（fft）
- 基于先验信噪比和VAD的谱减法语音降噪处理(Noise reduction by spectral subtraction based on prior SNR and VAD)
audio-compare
- 对语音进行mfcc特征提取，拥有自己的vad模块(MFCC feature extraction of speech, and own VAD module)
iddqmadeeasy
- An Automatic Gain Controller (AGC) for speech signals embedded in additive noise requires Voice Activity Detection (VAD) to avoid noise amplification, a peak level detector for computing gain, and a gain controller for adjusting gain. This paper desc
AchievingBitPerfectUSBAudio
- An Automatic Gain Controller (AGC) for speech signals embedded in additive noise requires Voice Activity Detection (VAD) to avoid noise amplification, a peak level detector for computing gain, and a gain controller for adjusting gain. This paper desc
speexdsp-1.2rc3.tar
- Speex是一套主要针对语音的开源免费，无专利保护的应用集合，它不仅包括编解码器，还包括VAD(语音检测),DTX(不连续传输),AEC(回声消除),NS(去噪)等实用模块。(Speex is a set of open source free, patent free application set, which is mainly for voice. It not only includes codec, but also includes VAD (voice detection), D
vad
- 自适应端点检测。那么什么是自适应端点检测呢？也就是采集声音信号的时候，开始说话到说话结束，我们把这一段声音信号采集下来进行处理。(Adaptive endpoint detection. So what is adaptive endpoint detection? That is, when the sound signal acquisition, began to speak to the end of the speech, we collected this sound signal