搜索资源列表
daopu
- 求基音周期，用C语音编写，处理pcm文件，用自相关算法求基音周期。-Find the pitch period, with the C language preparation, processing pcm file, auto-correlation algorithm for pitch.
dtmf
- 本程序用于检测音频文件中是否具有DTMF信号，若有则将其检出。 程序首先使用Goertzel算法求出以FRAMESIZE（默认200）为大小的一帧数据在8个DTMF频点上的能量。 对Goertzel算法的改进，对于系数的计算不是采用2*cos[2*pi*k/N]，而是采用2*cos[2*pi*fn/fs],这样能够降低误差。 确定了8个频点的能量后运用一系列判决门限来确定有没有DTMF信号，以及信号是什么。 -This procedure used to detect wh
75448151lsp3
- 语音信号的LPC线性预测编码程序，求其基因周期的源程序了，分帧，预处理，LPC算法-LPC Linear Predictive speech signal coding process, seeking the source of its genetic cycle, and sub-frame, pre, LPC algorithm
pitch_
- 求pcm文件的基音周期，用matlab编写，作图说明，用平均幅度差算法修正自相关算法来求基音周期-Find the pitch period pcm files, using matlab, plot descr iption, with the average magnitude difference algorithm for auto-correlation algorithm to find correct pitch
vector_quantization
- 语音信号的矢量量化，其中vector_quantization.m为读取音频文件，转换成语音帧，求lpc及lsf参数以及进行矢量量化的主程序，a_lsf_conversion.m为主程序调用的lpc转lsf参数的子程序，INLS1.wav为音频文件。-Vector quantization of speech signals, wherein vector_quantization.m to read audio file, converted into speech frames, seeki
1111
- 通过求取均值来得到的语音压缩源代码，希望对语音的同学有所帮助-this is the source code of Voice Compression , it is wise to help students who learn Speech Recognition
rwpitch
- 对输入的语音信号进行分帧处理，低通滤波，中心削波，求自相关函数最后得到基音轨迹。-Speech input signal framing processing, low-pass filtering, center clipping, seeking autocorrelation function finally got the pitch trajectory.
a_lsf
- 已知语音文件求出其LPC系数后，调用a_lsf_conversion.m函数求其对应的LSF-Known find their voice files LPC coefficients, call a_lsf_conversion.m corresponding LSF function evaluation
pitch
- 采用自相关法提取基音，里面有求取自相关的函数。-To extract the pitch of the autocorrelation method
XULIE
- 利用matlab编程，编写了一个m序列的本原多项式，并且可以利用库函数求序列的自相关-Using matlab programming, wrote a primitive polynomial m sequence, and can take advantage of the library function uation autocorrelation
emsuanfa
- 利用matlab编写em算法，其中可以看到，两个函数协方差如何求取-Em algorithm using matlab write, where you can see how the two functions covariance strike
LPCLSF
- 已知语音文件求出其LPC系数后，通过matlab语言求其对应的LSF。-Known speech file to find its LPC coefficient, through the matlab language for its corresponding LSF.