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Description: 用MATLAB开发的语音识别中语音特征提取方法之一LPCC(线性预测倒谱系数）。-A MATLAB program for speech signal recognition using LPCC (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character
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Size: 1024 |
Author: 陈亮 |
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Description: 求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
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Size: 2048 |
Author: wh |
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Description: 合成语音质量的客观评价，包括信噪比，倒谱距离，平均值等。用matlab程序实现。-Synthesis of an objective evaluation of voice quality, including signal to noise ratio, cepstral distance, average and so on. Using matlab program.
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Size: 2048 |
Author: 王利 |
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Description: 用Matlab以及c语言求语音序列的倒谱
这某段语音信号求FFT、取模、取log、IFFT得到倒谱，并画图。选取一段进行分析，分别对浊音和清音各自求倒谱。-Using Matlab, as well as for c language serial Cepstral voice that voice signal for a certain period of FFT, check mode, check log, IFFT been cepstrum, and drawing. Select a section of the analysis, respectively, and the voiceless to voiced their demand cepstrum.
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Size: 4096 |
Author: 海德 |
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Description: 倒谱系数检测的程序，以及倒谱距离的计算
-Cepstral Coefficients detection procedures, as well as cepstral distance calculation
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Size: 1024 |
Author: zhouxingxing |
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Description: mfcc mel倒谱系数学习。适合语音识别参数的学习。-mfcc mel cepstral coefficient learning. Parameters for speech recognition learning.
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Size: 1024 |
Author: 沈立金 |
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Description: Speech analysis and parameter extraction Short-term analysis, frames and windows Time-domain analysis: energy, zero-crossings, statistic parameters, autocorrelation
Frequency-domain analysis: spectra and spectrograms Cepstral analysis Linear prediction analysis Pitch and formant estimation
to run the application please tape menu
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Size: 2220032 |
Author: 栗子 |
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Description: matlab 求线性倒谱系数,用于语音识别-matlab linear cepstral coefficients for speech recognition
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Size: 424960 |
Author: 吴欢欢 |
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Description: 求出语音信号的倒谱以便于进一步对语音信号作进一步的分析处理，分析信号的特性。-Derived Cepstral voice signal in order to facilitate further speech signal processing for further analysis, analysis of signal characteristics.
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Size: 2048 |
Author: zhandong |
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Description: 倒谱系数作为特征提取方法，数据采用的是麻省理工的PAF数据，提取出的特征属性具有较好的分类性能-Cepstral coefficients as feature extraction methods, data used by the PAF are the Massachusetts data, extracted features of the property has good classification performance
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Size: 375808 |
Author: linzhu |
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Description: MFCC (Mel Frequent Cepstral Coefficient) in M-File.
epresentation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.
MFCCs derived as follows:
1. Take the Fourier transform of (a windowed excerpt of) a signal.
2. Map the powers of the spectrum obtained above onto the mel scale, using triangular overlapping windows.
3. Take the logs of the powers at each of the mel frequencies.
4. Take the discrete cosine transform of the list of mel log powers, as if it were a signal.
5. The MFCCs are the amplitudes of the resulting spectrum.
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Size: 1024 |
Author: Mitha |
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Description: 对语音信号进行倒谱分析，产生信号图形和倒谱图形-Voice signals on cepstral analysis, signal graphics and graphics cepstrum
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Size: 352256 |
Author: 赵树森 |
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Description: In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstral Coefficient (MFCC) along with Vector Quantization (VQLBG) and Euclidean Distance to identify different characters. Based on the results, data was send to Parallel Printer Port of the computer & using relay different devices will be controlled.
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Size: 2048 |
Author: SimonKap22 |
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Description: 文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+):
81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢
量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characteristics 9 (:-Frequency Cepstral Coefficients (9 (: <+(=>( 2 /? 8 ( 0+):
81 (..-/-( 20 @, 9 "88) as the characteristic parameter, taking into account the characteristic parameters for different components of each dimension of the distinction between the speaker level, using weighted approach to vector
Quantization. .
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Size: 60416 |
Author: 于高 |
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Description: 从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数
-From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral coefficients
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Size: 241664 |
Author: 于高 |
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Description: 一些有用的MATLAB编写的MFCC算法的代码。-Some useful codes for Mel-Frequency Cepstral Coefficients Algorithm, Writed by Matlab.
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Size: 453632 |
Author: 郑豪 |
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Description: 音频mfcc 参数计算 用于计算语音信号的Mel倒谱系数-Audio mfcc parameter calculation used to calculate the speech signal Mel cepstral
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Size: 4096 |
Author: kong |
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Description: 提取LPC参数进行，倒谱系数的计算，用于静音检测算法，-Extract LPC parameters, the calculation of cepstral coefficients for mute detection algorithm
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Size: 428032 |
Author: 李鹏伟 |
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Description: 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based
on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem.
Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors.
The models are used to design first, second etc. order predictors.
The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The
best prediction scheme obtains an average spectral distortion that
is 0.46 dB less than for the reference method.
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Size: 296960 |
Author: will |
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Description: 提取线性预测倒谱系数的matlab程序，使用的是自相关法-Linear prediction cepstral coefficients extracted the matlab program, using the autocorrelation
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Size: 1024 |
Author: zhupeng |
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