搜索资源列表
lpcdl2aa
- 在语音信号处理中使用matlab对语音信号进行lpc谱估计的源代码。-in voice signal processing using Matlab, the audio signal lpc spectrum estimation of the source code.
siganlandsystemusingMatlab
- 这是一个用Matlab编写的程序集，可以实现一些声音和图象的处理。声音的处理有：LPC，FFT，共振峰，频谱等。图象的处理也有很多，都有源代码和参考代码。还有非常友好的界面。-This is a Matlab prepared by the procedure set, can achieve some of the voices and image processing. Voice processing : LPC, FFT, formants and spectrum. Image pro
LPC-based-voice-spectrum-analy
- 基于语音频谱分析的重要性以及众多端点检测的算法以示其重要性,Based on the importance of voice spectrum analysis and the various endpoint detection algorithm to show its importance
4
- 运用自相关方法，估计语音信号的声道参数，绘出随预测增加时语音信号的LPC谱包络曲线，并与FFT谱比较。-Using autocorrelation method to estimate the channel parameters of speech signals, when plotted with the predicted increase in LPC speech signal spectral envelope curve, and compared with the FFT sp
MP3playerbasedonlpc
- ARM做的MP3播放器(LPC2148+VS1003+CH375+OLED)有频谱,用了操作系统uCOS-II(共享全部源码)-ARM' s MP3 player to do (LPC2148+ VS1003+ CH375+ OLED) have a spectrum, with the operating system uCOS-II (sharing all the source code)
lpcy
- 。LPC分析是进行语音分析的有效技术之一,它提供了1 组简洁的模型参数,这组参数能够比较精确地表征语音信号的频谱幅度, 而且获得这些参数所需的计算量相对较小-. LPC analysis is an effective voice analysis technologies, which provides a concise group of model parameters, which can be more precise set of parameters that characteri
lpc_spectrum
- LPC spectrum module and demo
my_lpc
- 线性预测（LPC）是语音信号处理中最有效的分析方法之一，通过LPC谱，LPCC谱的分析，并结合LPC检测方法判断出语音的基音周期或共振峰。我们可以利用Matlab来进行编程实现，具有实现简单，效果良好的特点-The linear predictive (LPC) is one of the most important methods in speech processing. Through the LPC spectrum, the LPCC spectrum analysis, and u
peak_segmn
- lpc spectrum peak segmenter
LPC
- LPC预测的仿真实现。输出4个图，原始信号和预测信号的波形和语谱。-Simulation of LPC prediction. Output 4 maps, the original signal and prediction signal waveform and language spectrum.
lpc623
- 5/10/15/20阶的语音信号LPC 预测及其功率谱，并绘制误差函数图像-5/10/15/20 LPC prediction order of the voice signal and the power spectrum, and the mapping of the image error function
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
LPC
- 利用matlab编程实现LPC谱与语音频谱的比较。- LPC spectrum using matlab programming comparison with the speech spectrum
student3
- 语音信号LPC分析，P值不同的效果。LPC与频谱的效果对比-Speech signal LPC analysis, P values of different effects. Compared with the effect of LPC spectrum
LPC-speech
- 对加窗后的语音帧计算lpc系数.用倒谱的方法求频谱 加海明窗的原始语音帧LPC倒谱.-Calculate lpc coefficients of the windowed speech frames. Cepstrum and spectrum the Jia Haiming window of the original speech frame LPC cepstrum.
lpc
- 基于matlab平台的lpc谱提取代码，对语音信号处理有重大作用-Based the matlab platform lpc spectrum extract the code, have a significant role in the speech signal processing
frequency-domain
- 语音信号的频域分析，包括短时谱，倒谱，LPC谱的程序，以及端点检测的程序-Voice signals in the frequency domain analysis, including short-time spectrum, cepstrum, LPC spectrum procedures, as well as the endpoint detection procedures
lpc
- 1.用matlab实现对一个元音和一个清辅音的LPC系数，LPCC系数和MFCC系数的提取。 2，用LPC对这两个语音信号的功率谱进行估计，其中，LPC系数要分别有5阶，10阶，15阶和20阶四种情况，并在一个图里画出信号本身的FFT功率谱和四条不同阶数的LPC谱估计图，以作比较。注意，LPC和LPCC只考察自相关法。 3，用对数面积比的方法来求出这两个发音的变截面声管模拟图形，10阶即可-Using matlab to achieve the LPC coefficients of a
Lab4-LPC
- For restoration of time-domain signals, an estimate of the instantaneous magnitude spectrum is combined with the phase of the noisy signal, and then transformed via an inverse discrete Fourier transform to the time domain. In terms of comput
LPC
- 对一个元音和一个清辅音进行线性预测分析。LPC系数要分别有5阶，15阶和50阶三种情况，在同一坐标图里用不同颜色分别给出对应的LPC包络谱和FFT频谱，并试着对比分析。-A linear prediction of a vowel and a clear consonant. LPC coefficients should be 5 order, 15 and 50 order three cases, in the same coordinate map with different colo