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lpcc
- 本源码为语音识别中lpcc（线性预测倒谱系数）的计算方法。经试验，可用。为方便大家理解，关键语句和函数后面都加上了注释。-The source code for speech recognition in lpcc (Linear Prediction Cepstrum Coefficient) is calculated. After testing, can be used. To facilitate the understanding of everyone, the key behin
10
- 音频水印在复倒谱域嵌入水印，采用统计均值调制方法嵌入-Audio watermarking in the complex cepstrum domain embedded watermark embedding using statistical average modulation method
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
pitch
- 采用倒谱分析进行基因检测，程序内有详细的标注。-Cepstrum analysis using genetic testing, procedures detailed within the mark.
cep1
- Matlab倒谱法测语音信号的基音周期。vista下测试成功-Matlab cepstrum method to measure the pitch period of speech signal. successfully tested under vista
est_daopu_len
- 运动模糊图像的复原，采用倒谱法估计模糊尺度，编写代码，适合初学者学习与理解。含图，可运行测试-Restoration of motion blurred images using fuzzy scale cepstrum estimation, writing code, suitable for beginners to learn and understand. Including maps, can run the test
MelCepstrumCoefficients
- 求梅尔倒谱系数的matlab程序，主程序是melcepst。-Mel Cepstrum Coefficients seeking matlab program, the main program is melcepst.
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
meierdaopufadematlabshixian
- 对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率
sound_analysis
- 语音信号的频谱分析,包括采样语音的FFT变换,及倒频谱分析.-Speech signal spectrum analysis, including FFT, voice samples, and cepstrum analysis.
cep
- pitch detection using cepstrum
Speech-signal-short-time-analysis
- 详细说明：语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time a
VQ-pattern-recognition
- VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab
matlab-code
- 信号处理，数据录入，傅里叶变换，计算频谱及倒谱！-Signal processing, computing the spectrum and cepstrum
MATLAB
- 该程序可以用于语音信号的倒谱运算，其他一维信号也适用-The program can be used for speech signal cepstrum computing also applies to other one-dimensional signal
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- 倒频谱的matlab实现代码。包含倒频谱的代码及调用文件。-Cepstrum matlab code. Contains the the cepstrum code and call the file.
MATLAB
- 梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonline
cepstrum
- matlab code for cepstrum
gunpoufie
- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decompos
4188
- Virtual power wireless sensor network coverage, Mathematics is part of the subspace, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.