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speech-signal-process
- 短时能量分析,用于语音信号的端点检测，分析有无声判别-short_time energy
chugao1
- 0基于语音信号特征：短时能量，短时过零率子带谱熵的语音信号的端点检测-0 endpoint detection based on speech signal characteristics: short-term energy, short-term zero-rate sub-band spectral entropy of speech signals
vad
- 基于短时能量和过零率，将整个语音信号的端点检测分为四段：静音、过渡段、语音段、结束。端点检测vad算法-Endpoint detection vad algorithm
endPoint
- 简单的基于门限值的语音端点检测。先将数字化的语音信号封装成帧，利用最大的帧幅值乘以一个比例因子得到门限值-Simple threshold-based voice end point detection. First，framing the digital voice signal , then using the maximum amplitude to multiply a frame scale factor to get threshold
TDTWspeecchh
- 本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括括语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取，采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别 -This paper first introduces the research and
enframe
- 实现了语音信号的端点检测功能，基于matlab环境，是hmm语音识别的初步工作-Voice signal endpoint detection based on matlab environment, hmm speech recognition preliminary work
fff
- 使用matlab实现对语音信号的端点检测（可以重复检测）并自动绘制出结果-speech signal endpoint detection matlab program
vad
- 端点检测程序：一个对输入的语音信号进行处理，找到语音端点的程序-Endpoint detection programs: one of the input speech signal processing, find the speech endpoint program
study1
- 在matlab环境下实现语音信号的预处理，包括分帧，加窗，滤波，并进行端点检测，绘图。-Voice signal preprocessing in the Matlab environment, including the frame, windowing, filtering, and endpoint detection, drawing.
vad
- MATLAB环境下，对输入的语音信号进行端点检测子程序。-MATLAB environment, the input voice signal endpoint detection subroutine.
dtw2
- matlab代码，对输入的语音信号进行端点检测程序源码，改进的dtw算法。-Matlab code, the input voice signal endpoint detection program source code.
shiyupinyu
- 语音信号的时域波形和频域波形，简单易懂，利用FFT实现。另加语音端点检测文献一篇-Speech signal time domain waveform and frequency domain waveform, straightforward, using FFT to realize
dtw
- 用matlab实现特定人的单个词识别，采用dtw算法，主要用到了语音端点检测、语音分帧、梅尔倒谱系数等，文件中含有0-9个输入模版语音，作为参考模版信号。-Using matlab to achieve a specific person single word recognition, using dtw algorithm, mainly used in the voice activity detection, voice sub-frame, Mel Cepstral, etc., do
endpoint-detection
- 用双门限算法对语音信号进行端点检测。With the double threshold algorithm for speech signal endpoint detection.-With the double threshold algorithm for speech signal endpoint detection.
yuyinchuli
- 通过matalb实现语音信号的处理，完成预加重、加窗函数、端点检测及生成处理后语音样本-Achieved by processing the speech signal matalb, complete the pre-emphasis, windowing function, voice activity detection and generation after sample processing
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
signal
- 对一段输入的连续语音信号，进行端点检测，声韵母分割，并对韵母段的信号进行基频检测。-Period of continuous speech signal input, endpoint detection, segmentation vowel sound, and the vowel segment signal the frequency of detection.
9MATLABCHULIXIN
- 第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简
Speech-signal-pre-processing
- 语音信号预处理，频谱分析，滤波，预加重及端点检测-Speech signal pre-processing, spectral analysis, filtering, pre-emphasis and endpoint detection