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code for obtaining cepstrum
Update : 2024-05-06 Size : 1024 Publisher : zahra

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包含了3篇有关同态信号处理的论文,帮助理解倒谱,复倒谱,非线性滤波的有关理论-Contains three of the state signal processing with paper to help understand the cepstrum, complex cepstrum, the theory of nonlinear filtering
Update : 2024-05-06 Size : 735232 Publisher : lishuang

omputes Mel Frequency Cepstrum Coefficients (MFCC)
Update : 2024-05-06 Size : 1024 Publisher : Parvatishankar

该文在研究基于线性预测倒谱和非线性MEL刻度倒谱特征的基础上,研究了LPCC和MFCC参数提取的算法原理及提取算法,提出了一级、二级差分倒谱特征参数的提取算法。识别实验验证了MFCC参数的鲁棒性优于LPCC参数。-In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter extraction algorithm for principle and extraction algorithm is proposed a secondary characteristic parameters of differential cepstrum extraction algorithm. Recognition experiment results verify the robustness of MFCC parameters is superior to LPCC parameters.
Update : 2024-05-06 Size : 147456 Publisher : Decheng Yu

OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik SMM
Update : 2024-05-06 Size : 1241088 Publisher : strike

这是一个在语音识别中求Mel倒谱系数的matlab程序。 这个程序里面还需要用到几个其他的函数,都在VoiceBox工具箱里面,可以到网上下载-Calculate the mel cepstrum of a signal,The program also needs to be used in several other functions, in VoiceBox toolbox, can to download
Update : 2024-05-06 Size : 2048 Publisher : bradden

4篇介绍隐马尔可夫模型、ARMA倒谱、基于矢量量化改进算法的说话人识别、与文本无关的说话人识别研究的论文,对需要的还是有帮助的-4 introduced the hidden Markov model, ARMA cepstrum, based on vector quantization algorithm for speaker recognition improved, and text-independent speaker recognition research papers, or in need of help
Update : 2024-05-06 Size : 1852416 Publisher : lanyuna

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Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technology, an audio watermarking algorithm is proposed where the low-frequency wavelet coefficients are chosen for cepstrum transforming. Then, the obtained cepstrum data shows stable for watermark hiding by the methods of edging data cutting and statistical mean modification. The synchronization is not required in the algorithm. Experimental results show that the proposed algorithm can resist on the attack of A/D and D/A successfully with features of large capacity and zero bit error. It will be helpful for the mobile audio in secure broadcast and management in the
Update : 2024-05-06 Size : 207872 Publisher : vinay

Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technology, an audio watermarking algorithm is proposed where the low-frequency wavelet coefficients are chosen for cepstrum transforming. Then, the obtained cepstrum data shows stable for watermark hiding by the methods of edging data cutting and statistical mean modification. The synchronization is not required in the algorithm. Experimental results show that the proposed algorithm can resist on the attack of A/D and D/A successfully with features of large capacity and zero bit error. It will be helpful for the mobile audio in secure broadcast and management in the
Update : 2024-05-06 Size : 199680 Publisher : vinay

Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technology, an audio watermarking algorithm is proposed where the low-frequency wavelet coefficients are chosen for cepstrum transforming. Then, the obtained cepstrum data shows stable for watermark hiding by the methods of edging data cutting and statistical mean modification. The synchronization is not required in the algorithm. Experimental results show that the proposed algorithm can resist on the attack of A/D and D/A successfully with features of large capacity and zero bit error. It will be helpful for the mobile audio in secure broadcast and management in the
Update : 2024-05-06 Size : 346112 Publisher : vinay

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使用自相关和倒谱法提取wav文件基频的程序-The use of autocorrelation and cepstrum extraction procedure for baseband wav files
Update : 2024-05-06 Size : 65536 Publisher : syy

matlab10
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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
Update : 2024-05-06 Size : 1024 Publisher : leona

Otherlab5
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matlab code for FFT&cepstrum
Update : 2024-05-06 Size : 735232 Publisher : anda

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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 envelope information and fine structural characteristics of information
Update : 2024-05-06 Size : 1024 Publisher : 仲惟姣

对语音信号进行倒谱分析,观看其频谱的幅度信息-Cepstrum of the speech signal analysis, see the spectrum of amplitude information
Update : 2024-05-06 Size : 1024 Publisher : 王智芳

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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.
Update : 2024-05-06 Size : 1024 Publisher : dk

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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
Update : 2024-05-06 Size : 26624 Publisher : 天天

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本算法是通过共振峰的方法,利用信号的倒谱特性对语音信号进行处理。-This algorithm is the method by the resonance peak, the signal characteristics of the cepstrum of the speech signal processing.
Update : 2024-05-06 Size : 523264 Publisher : 韩小芳

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这个函数用于估算光谱中的最大信息熵,它同时满足了倒频谱的局限和相关谱的局限-This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
Update : 2024-05-06 Size : 1024 Publisher : guo zhong

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.将得到的功率谱信号通过mel滤波器组,得到相应的25个功率值;9.对这些功率值取自然对数;10.对这些值取离散作弦变换;11.将得到的值去掉直流分量,取其它值作为MFCC参数。 -Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.
Update : 2024-05-06 Size : 13312 Publisher : 赵欣
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