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UVS
- classification algorithm among Unvoiced/voiced speech and silence
speech-
- 语音信号处理短时分析的实验以实验报告，处理有语音信号的短时幅值、自相关函数、短时能量和分辨清音和浊音-The analysis of the short speech signal processing experiments to test report, with the short speech signal amplitude, the autocorrelation function, short-term energy and distinguish the voiced and u
endptnew
- end point detection or silence removal i.e to remove voiced or unvoiced speech
qingzhuoyingpinpu
- 实现清音与浊音的频谱分析，通过加不同窗，分析清音和浊音频谱变化-Unvoiced and voiced spectral analysis, analysis of unvoiced and voiced spectral variation, by adding different window
zero-crossing
- finding energy of speech signal to distinguish between voiced and unvoiced signal
Pitch-detection
- 线性预测声码器设计中语音信号的基音周期提取，采集语音信号，对语音信号进行处理，区分清音浊音，并通过对采样值进行滤波、分帧、求短时自相关函数，得到浊音的基音周期。-Linear prediction vocoder design of the speech signal pitch extraction of speech signal acquisition, speech signal processing, discriminate unvoiced voiced, and through
audio_tezheng
- 语音信号的时域、频域与倒谱域分析。 1.分析一帧清音和浊音的自相关函数和倒谱系数 2.用Matlab画出该段语音的时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率 3.选择一帧无声、清音和浊音的语音，用Matlab画出它们的对数幅度谱(Time domain, frequency domain and cepstrum domain analysis of speech signals. 1. Analyze the autocorrelation function and c