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traditionalsp
- 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationa
directMusic
- 本程序是基于IBM ViaVoice的语音识别系统在上位机和下位机之间的通信构架。给出了语音识别系统的关键技术和算法的实现。-this program is based on the IBM ViaVoice speech recognition system in the PC and the next crew of between - letter framework. Voice recognition is the key technologies and algorithms rea
svlib
- Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification. -Currently, there are more than 20 classes in this library.
pjf
- 这是一个频减法语音增强算法的matlab代码，在matlab中运行成功的-This is a frequency subtraction speech enhancement algorithms Matlab code in Matlab run successful
MMSE-denoising
- MMSE语音增强算法，研究此领域的人不可不看哦-MMSE voice enhancement algorithms, and research in this area who can not flash open her cloak
HMMmodel
- This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the
forward_viterbi
- The algorm of viterbi. You talk to your friend three days in a row and discover that on the first day he went for a walk, on the second day he went shopping, and on the third day he cleaned his apartment. You have two questions: What is the overall p
fenxing
- 为提高语音端点检测(VAD)在较低信噪比(10 dB)下的准确率,提出一种基于短时分形维数的改进算法。结合语音信号的特点,对2种常用的语音信号分形维数计算方法进行了比较和选择,同时采用动态跟随门限值实现语音端点的自适应检测。试验结果表明:对于信噪比6~10 dB的带噪语音,此方法可以实现整段语音的检测,而且具有一定的噪声鲁棒性,系统运行期间能够自适应调整门限值以适应环境噪声的变化,提高了VAD算法的准确率。这个是源码matlab。-In order to improve voice activi
spectral_speech_enhancement
- 在强噪声环境下，说话人话音受到很强烈的干扰，语音增强是很有必要的。在TDS5410-TDK实验板，实现了谱衰减算法。主要包括有声/无声检测算法、发送/接收缓冲区的调度、语音降噪算法。试验结果表明，其降噪效果明显，试听效果较好。 -In strong noise environment, the speaker voice by the very strong interference, speech enhancement is necessary. TDS5410-TDK experim
PRSLP
- 详细介绍了模式识别在语音识别中的应用，算法和方法等。-Detailed information on Pattern Recognition in Speech Recognition applications, algorithms and methods.
DSPalgorithm
- 现代数字信号处理的几种算法对语音噪声的消除以及模拟调制AM，数学中的希尔伯特变换-Modern Digital Signal Processing Algorithms for the elimination of noise on the voice, as well as analog modulation AM, Hilbert Transform in Math
mfcc
- 本文件包含语音识别语音识别中一些算法，加框处理的算法，以及进行mfcc和倒谱的算法，用matlab算法实现。另外还包含一个音频文件。-This document contains the speech recognition in a number of speech recognition algorithms, the algorithm deal with framing, as well as cepstrum mfcc and the algorithm implementation
aecfortelenetwork
- 這篇論文提出了一個在網路電話上處理回音消除的架構，並考量到雙邊通話提出了改進的演算法。-a model for electrical echo in telephone networks for varied echo-path delay was designed. This was with a view to implementing an adaptive electrical echo canceller based on a combination of the No
praat
- The pitch determination is very important for many speech processing algorithms. In this program, pitch detection methods are examined.
Speech.Coding.Algorithms.Foundation.and.Evolution
- Algorithms of speech coding: theory & samples in C language.
melppp
- 在语音编码算法中,混和激励线性预测(MELP)算法因为能更好的模拟自然语言特征,在低速率上能合成较高质量的语音,而成为现代低速率语音编码中最有潜力的算法之一。-In the speech coding algorithm, the mixed excitation linear prediction (MELP) algorithm because it can better simulate the natural language features can be synthesized at
Basic_voice
- 详细说明：语音信号处理中的所有基本的算法的代码，很全的。欢迎大家下载使用 -Details: speech signal processing algorithms in all the basic code is the whole. Welcome to download
hmm-ViterbiPalgorithm
- 介绍了HMM模型几种算法中的一种Viterbi Algorithm，并给出了其实现程序-HMM model introduced several algorithms in an Viterbi Algorithm, and gives its realization procedure
yuyinxinhaochuli
- 语音信号处理中的所有基本的算法的代码（C语言版）-Speech signal processing algorithms in all the basic code (C language version)
Beamforming Forming
- 数字波束形成和自适应算法中的各种算法music 、capon、LCMV、mvdr等(Various algorithms in digital beamforming and adaptive algorithms music, Capon, LCMV, MVDR and so on)