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speech_analysis
- 这时一个语音特征提取的程序源码，除了包含矩阵运算和矢量运算外，还包含了很多语音特征的提取算法，包括：共振峰(formant)提取、基音(pitch)提取、端点(endpoint)检测、线性预测系数(LPCC)、MFCC、LSF、PLCC、EPOCH等。这是我见到的最全的语音分析源码，推荐！-Then a voice feature extraction procedures source, in addition to containing matrix and vector operation
matlab
- 双门限法检测离散语音端点，方法简单，易实现，常用语低噪环境-Double threshold discrete speech endpoint detection method is simple and easy to implement, low-noise environment commonly used terms
endpoint
- 计算语音信号的端点 采用双门限法进行检测-Speech signal endpoint computing double-threshold detection method
dtw
- 本为主要阐述了小波变换在语音信号去噪的应用，语音端点的检测，语音特征的提取及一种简单的语音识别算法。-This is mainly expounds the wavelet transform in the application of speech signal denoising, speech endpoint detection, speech characteristics of the extraction and a simple speech recognition algori
dtdp
- 深刻理解加窗思想在语音语音信号处理的作用，掌握矩形窗、汉宁窗、哈明窗的算法。理解窗长和窗移对计算语音信号的短时过零率、短时能量、短时平均能量的影响，掌握设定合适的短时过零率阈值、短时平均能量阈值来实现语音信号端点的检测。-an implementation of double-threshold method for audio endpoint detection algorithm
yinduanjiance
- 能够有效实现语音端点的检测，并且确定端点内的清浊音。-An effective voice endpoint detection
detection
- 使用matlab进行语音端点的检测，使用经典的短时能量和平均过零率-Using matlab for speech endpoint detection, using the classic short-time energy and the average zero crossing rate
Voice-endpoint-detection
- 语音识别检测端点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。不然那么多信号都去处理，没有声音也处理那就浪费了很多的空间以及浪费了CPU去做后续的操作。这是一段语音识别检测端点代码。-Speech recognition detection endpoint is to collect the sound signal, began to speak to the end of the speech, we put this section of the s
vad-master
- 调用webrtc中的VAD算法，可以实现录音文件的语音端点检测，时延7.8ms(Calling VAD algorithm in webrtc, voice endpoint detection of recording file can be realized with a delay of 7.8ms)