搜索资源列表
AMDF_MatlabAnalysis
- 自相关虽然能够判断清/浊音，并估计浊音的基音周期，但是其运算量很大，用乘法运算所需时间较长。为了避免乘法，采用短时平均幅度差函数（AMDF），验证AMDF与自相关有类似的作用，即平均幅度差函数能够代替自相关函数进行语音分析。-Although autocorrelation can differ from the Voiced/Unvoiced and voiced the pitch period estimate, but the operation is large enough, wit
UVS
- classification algorithm among Unvoiced/voiced speech and silence
dereverber
- dereverberator code for matlab using voiced-unvoiced classification of speech signals
ASEE12008_0044_paper
- Separation of voiced and unvoiced portions using Zero crossing rate ans energy
10.1.1.4.2135
- Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pi
sara
- Wavelet based voiced/unvoiced classification algorithm
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
xianxingfenxi
- 基于matlab软件,的语音清音帧和浊音帧进行线性分析。-Based on the MATLAB software,on speech unvoiced frames and voiced frame using linear prediction analysis,respectively.
Testing_arpi
- Matlab code for doing Voiced Unvoiced and Silence Classification in a speech signal
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
Untitled2
- 对语音清音和浊音的区别，主要利用的是矩形窗，自相关处理-Voice unvoiced and voiced distinction, the main advantage is that the rectangular window, the autocorrelation processing
New-Compressed-(zipped)-Folder
- separates the voiced and unvoiced portion and performs STFT
voiced-unvoiced-pitch-marking
- VOICE UNVOICED SILENCE PITCH MARKING-VOICE UNVOICED SILENCE PITCH MARKING
zero-crossing
- to find zero crossing rate of speech signal to distinguish between voiced and unvoiced signal
zero-crossing
- finding energy of speech signal to distinguish between voiced and unvoiced signal
exercise319b
- Splice out the voiced plosive “b” in theword “be” and synthesize aword with an increase in the voice onset time of the “b.” What is the perceptual effect? Is it possible to transform the voiced plosive “b” to the unvoiced plosive “p” with this ch
zidongcejiyiinzhouqi
- 自动估测语音信号的基音频率。目前只能估计浊音，清音没有基音周期（会报错），基音周期取第二、三帧及以后的帧数。003和191分别是男声和女声的语音信号包。-Automatic estimation of the pitch frequency of the speech signal. Currently only estimated voiced, unvoiced no pitch (being given), take the second pitch, and after three fr
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
lpc_vocoder_rev2
- 这个MATLAB构建一个锻炼LPC声码器,即,执行LPC分析和合成语音文件,导致合成语音近似原始的演讲。LPC分析使用一个标准的自相关分析来确定LPC系数的设置,一帧一帧的基础上,以及框架获得。一个独立的分析方法(cepstral螺距内检测器)把每一帧的言论是要么表示演讲(时间由cepstral峰值的位置在指定范围的音调时期)或无声的言论(模拟随机噪声帧)0帧基音周期的样本。独立的分析提供了一个两国并存的激发函数LPC合成处理的一部分,包括一系列的脉冲(表示帧期间)和/或噪声序列(在无声的帧)。