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CELP.ZIP
- CELP The most common Speech coding scheme is Code-Excited Linear Predictive (CELP) coding, which is used for example in the GSM standard. In CELP, the modelling is divided in two stages, a linear predictive stage that models the spectral envelope a
fdpsola
- 语音合成程序！psalo频域基音同步叠加方法。它首先对原始语音信号进行短时频域变换，得到短时谱和短时谱包络。短时谱除以短时谱包络得到声源短时谱，对声源短时谱的实部和虚部分别进行线性插值，就可以达到改变语音信号基频的目的，然后再进行频域反变换，可得到变换后的短时语音信号。短时谱包络部分也可以独立改变，以达到改变音色的目的。-speech synthesis procedures! Psalo frequency domain pitch synchronous superposition meth
levension
- 列文森-杜宾算法，用于语音的线性预测控制中，也可以用于谱包络。-Levenson-Durbin algorithm for voice linear predictive control, but also can be used for spectral envelope.
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
spsub
- provides basic spectral subtraction [SS] function for speech enhancement. basic envelope detection is also achieved for SS.
Study_of_The_Key_Technology_of_Voice_Conversion.ra
- ：语音转换技术在语音处理领域是一个比较新的研究方向，也是近年来语音领域的研究热点。语音转换技术是指改变源说话人 的语音特征使之具有目标说话人特征的一项：语音转换技术在语音处理领域是一个比本文说明了语音转换的定义，介绍了语音的个性特征，列举了频谱包络的几种主要的转换算法以及韵律转换的主要算法。最后说明了语音转换今后的研究方向。-Voice conversion technology in the field of speech processing is a relatively new re
daopufenxi
- 倒谱分析 倒谱分析是指信号短时振幅谱的对数傅里叶反 变换。它具有可近似地分离并提取出频谱包络信息 和细微结构信息的特点-Cepstrum analysis cepstrum analysis is the signal amplitude spectrum on the number of short-time Fourier inverse transform. It has can be approximately isolated and extracted spectral en
feature
- 该文件包含了一些常用的声辐射噪声的特征提取方法，包括波形的包络特征，高阶谱特征，分形维特征，奇异指数特征等。-The document contains some common acoustic feature extraction method of noise, including waveform envelope characteristics, higher order spectral features, characteristic of fractal dimension, si
baoluo
- 信号处理中频谱包络的Matlab程序，供初学者学习之用-Signal processing, spectral envelope in the Matlab program for beginners to learn with...
envelopeExtraction
- 语音谱包络检测算法，用于语音增强时的包络检测。-Speech spectral envelope detection algorithm for speech enhancement envelope detection.
sffddpsolap
- 语音合成程序源码！psalo频域基音同步叠加方法。它首先对原始语音信号进行短时频域变换，的到短时谱与短时谱包络。短时谱除以短时谱包络的到声源短时谱，对声源短时谱的实部与与虚部分别进行线性插值，就能达到改变变语音信号基频的目的，然后再进行频域反变换，可的到变换后的短时语音信号。短时谱包络部分也能独立改变，以达到改变音色的目的。 -Voice synthesis program source! psalo frequency domain pitch synchronous superposi
mainn
- 用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障-Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure
baoluopufenxi
- 可以很好地分析信号的包络谱，效果非常的明显，并且已经在matlab上成功运行-Is a good way to analysis the spectral envelope of signal, effect is very obvious, and it has been successfully run in matlab
tibaoluo
- 基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。-Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, a
(chp3)
- 离散函数matlab基本用法卷积与循环卷积描述及连续信号幅度谱包络-Discrete convolution function matlab basic usage and circular convolution descr iption and continuous signal amplitude spectral envelope
CN100466471C
- 专利：信号的光谱包络调整装置以及方法，是瑞典商编码技术股份有限公司的专利-Patents: signal spectral envelope adjustment device and method for encoding technology Co., Ltd. is a Swedish provider of patent
A-Spectral-Approach-EMD
- Although it has been proven to be particularly effective in many applications,EMD method has several drawbacks. The major problem with EMD is the lack of theoretical Framework which leads to difficulties for the characterization and evaluatio
wavelet-packets-analysis
- 针对风力发电机组传动系统故障时特征量提取困难的问题,提出了改进的小波包结合包络谱的故障诊断新方法。深入研究了小波包频带错乱的问题，对小波包实施了改进，消除了频带错乱的缺陷-In view of the wind turbine drive system characteristics, failure and difficult problems, puts forward the improved wavelet packet combining spectral envelope, a ne
Ti3
- 应用LPC/AR方法提取该帧的频谱包络并画图-LPC/AR method is applied to extract the spectral envelope and drawing frame
The-Hilbert-transform
- MATLAB希尔伯特Hilbert变换求包络谱 源程序代码-MATLAB Hilbert spectral envelope of the Hilbert transform