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detectendpoint1.rar
- 计算过零率，短时能量，调整能量门限，端点检测都是语音信号当中不可缺少的部分,Calculation of zero-crossing rate, short-term energy and adjust the energy threshold, endpoint detection of speech signals which are an integral part of
Endpoint-detection-of-speech-signal
- 语音信号的端点检测分析，有短时能量分析,短时过零率分析,和终点检测-Endpoint detection of speech signal, a short-term energy analysis, short-term rate of zero, and the end point detection
preprocess0
- 语音信号处理前的预处理部分，包括预加重，分frame，加窗，是语音信号编程入门的一个很好的参考程序-Speech signal processing part of the pre-pre-treatment, including pre-emphasis, sub-frame, plus window, the speech signal a good entry-programming reference procedures
LMS
- 噪声抵消的matlab程序源码 LMS算法 matlab程序-Matlab noise cancellation process of the LMS algorithm matlab source program
fingerprint
- Type Classification Code: main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots images) dirImg.m (computes the directional image) extract.m (extracts square portion of image - called by di
lpctoolbox_v20
- 本工具箱利用lpc方法可以准确的提取出共振峰频率，并且解决了共振峰检测时滤波器阶数对所有说话人都一样的问题。本工具箱由美国卡内基梅隆大学一位教授编写，因此所有解释均为英文原版。-The toolbox to use LPC method can extract accurate formant frequency, and the resolution of formant filter order testing of all the speaker are the same problems
cepstrum
- matlab数字语音分析模块(已调试）： 倒谱、复倒谱、对数谱、自相波形等。-matlab digital voice analysis module (has debug): cepstrum, complex cepstrum of the spectrum, such as self waveform.
EndPointDetector
- End point detector Implementation of "An Algorithm for Determining the Endpoints of Isolated Utterances, L. R. Rabiner and M. R.Sambur
voice_processor
- The purpose of this project is to create a different system for processing voice signals and from which we draw useful conclusions about these brands. More specifically, the system will first filter the voice signal with a pass bandwidth (chebyshe
Handbook_of_Speech_Processing
- Springer Handbook of Speech Processing
CurveLab-2.0.tar
- we present the first 3D discrete curvelet transform. This transform is an extension to the 2D transform described in Cand`es et al..1 The resulting curvelet frame preserves the important properties, such as parabolic scaling, tightness and sparse
Source-Channel-Coding-of-Speech
- Source-Channel-Coding-of-Speech--Alexis Pascal Bernard，1998 A thesis submitted in partial satisfaction of the requirements for the degree Master of Science in Electrical Engineering ，University of California Los Angeles
Improved-Realization-of-Speech-Enhancement-Algori
- Improved Realization of Speech Enhancement Algorithm Based on Wiener Filtering
Fundamentals_of_Speech_Recognition
- 拉宾纳的语音识别基础，英文，是语音识别的入门书籍，PDF版本，-FUNDAMENTALS OF SPEECH RECOGNITION (English),
Robust-Aircraft-tone-of-voice-activity-detection-i
- 飞机舱音信息鲁棒语音端点检测Robust Aircraft tone of voice activity detection information-Robust Aircraft tone of voice activity detection information
Use-of-prosodic-features-of-the-speaker-verificati
- 采用韵律特征的说话人确认系统Use of prosodic features of the speaker verification system-Use of prosodic features of the speaker verification system
Detection-of-Speech-Signals
- matlab的语音信号端点检测不同方法及应用-matlab endpoint detection of speech signal in different ways
The-research-of-anti-niose-speech
- 论文首先介绍了传统的语音特征参数MFCC，它是基于人耳听觉 特性设计的一种特征参数，在静音环境下能得到较高的识别率，但在 信噪比较低时识别率急剧下降，不利于实用化。本文通过对MFCC算 法的分析和研究，发现其中的FFT和DCT在整个时频空间使用固定的 。分析窗，这不符合语音信号特性，而小波变换具有多分辨率特性，更 符合人耳的听觉特性。因此，本文将小波变换和MFCC算法相结合， 提出了三种新的语音识别特-Speech recognition has wide use in
Noise-recognition-of-speech--
- 如何在噪声环境下识别语音。噪声环境下语音的一些特征-How to recognize speech in noisy environments. Noisy Speech Some characteristics of
basis-of-speech-recognition
- 语音识别的一些基础理论以及语音识别各个组成部分：预处理，参数提取，模式匹配，每个部分有多种详细的方法介绍。还包括说话人识别，语种识别，关键词识别。-basic theory of speech recognition and its component:pre-processing,extraction of parameters,matching.Each section has many method to be supplied.Besides,there are recognition