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G.723.1_2010_02_10
- 这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案,实验和研究,以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式(在6.3 kb / s的运行)。解码器可以解码的5.3 kb / s的,在6.3 kb的多脉冲/秒,连续传输,数据包丢失隐藏)编码器(所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件(同位文件由ITU - T参考代码产生兼容)。第二
G.723.1
- G723.1语音压缩编码功能的matlab实现-G723.1 speech compression coding function matlab implementation
Wavelet_denoising
- 小波变换的MATLAB源程序,使用语语音增强,去除噪声效果好,算法实现简单,清晰-MATLAB source wavelet transform, using language speech enhancement, noise removal effect, algorithm is simple and clear
audio_demo
- 语音信号处理:This package encloses a small application dedicated to speech signal processing at 8 kHz or 16 kHz. This application reads standard *.wav or *.pcm files through UI dialog box, plots and plays the signal with vertical dynamic crosshairs.-This
speech2
- 为了提高语音分离算法的收敛速度以及分离性能,提出把拉普拉斯正态混合分布概率密度函数作为语音信号概率密度函数的估计,得到一个更加适合语音信号分离的激活函数,基于此函数提出一种快速语音分离算法.-In order to improve speech separation algorithm convergence speed and separation performance, raise the normal mixture distribution Laplace probability de
fft2hps
- 语音处理的实用代码,完成耳语音的声韵分割功能-Practical speech processing code, complete the ear speech sound segmentation function
matlabxinxigongcheng
- matlab信息工程实习 wav语音处理具体操作 滤波器设计-Information Engineering Practice matlab wav voice to address specific operational Filter
matlabPROGRAM
- 关于语音识别的Matlab程序,包括Matlab下的work里面所有的东西-Matlab on the speech recognition process, including work under Matlab everything inside
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一,儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spec
main
- MATLAB中GUI的设计实例,其中包括语音信号的录制、采样、滤波、重构、以及计算语音信号的频谱特性。-MATLAB GUI design example, including voice signal sampling, filtering, recording, and calculate the reconstruction, the speech signal spectrum characteristics.
Speechdenoising
- 基于小波的语音去噪程序,由matlab编程实现,简单入门-Speech denoising based on wavelet processes from matlab programming, a simple entry
speakerrecognition
- 提取mfcc和lpcc等参数用于语音识别-Extraction mfcc and lpcc parameters for speech recognition
voice_prcossing
- 语音增强,倒谱,端点检测,共振峰检测,去噪-Speech enhancement, cepstrum, endpoint detection, formant detection, denoising
filter
- 本文分析了语音数字信号的采集来源以及其预处理。通过实例,利用Matlab对语音信号进行时频变换与分析,同时构造一个固定频率的干扰信号,对两个信号进行合成,设计数字滤波器,实现对语音信号的F IR、IIR滤波处理,最后在时域和频域中对信号进行分析比较。-This paper analyzes the sources of voice digital signal acquisition and its pretreatment. By example, voice signals using Ma
matlab
- matalb编写的语音编码的有关程序,有兴趣的可以下载-matalb prepared speech coding procedures are interested can download
MFCC
- 介绍语音识别中特征参数mfcc的改进算法,对于语音识别和语音合成有更好的效率-Introduction of speech recognition feature parameters mfcc improved algorithm for speech recognition and speech synthesis for better efficiency
voicebox0406.ZIP
- matlab 语音信号数字处理工具箱 实用的工具箱包含很多处理函数-matlab speech signal digital processing toolbox
dtw
- dtw文件是运用DTW算法实现安静环境下语音识别的。其中vad.m是端点检测程序;lpc.m是计算LPC参数的程序;lpc21lpcc.m是计算LPCC参数的程序;mfcc.m是计算MFCC参数的程序;dtw.m是实现经典DTW算法的程序;dtw2.m是实现高效DTW算法的程序,testdtw.m是最终测试程序,其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw file DTW algorithm is to use speech recognition in quiet envir
LPC_ACFpitchdetection
- 这是一个简单的语音基音检测方法,通过对语音信号进行滤波、分帧、求自相关函数,可得到浊音的基音周期,从而实现基频检测。-This is a simple voice pitch detection, voice signals by filtering, sub-frame, find the autocorrelation function, voiced the pitch period available to achieve the fundamental frequency testin
yuyinpinpufenxi
- 本语音频谱分析程序对三个重要的谱(即短时谱、倒谱和LPC谱)分别做了仿真分析,这样为以后进一步研究语音打下了基础。-The voice spectrum analysis program three important spectrum (ie short-term spectrum, cepstrum and LPC spectrum) is simulated separately, so that voice for the future foundation for further st