搜索资源列表
SR3
- 基于倒谱特征的说话人识别技术 提取语音的倒谱特征进行说话人识别-based Cepstral Speaker voice recognition technology from the Cepstral for Speaker Recognition
yuyindaoxu
- 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 bee
mfcc
- 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.
traitementduson
- Speech analysis and parameter extraction Short-term analysis, fr a mes and windows Time-domain analysis: energy, zero-crossings, statistic parameters, autocorrelation Frequency-domain analysis: spectra and spectrogram
AuditoryToolbox
- 语音信号分析软件，提取美尔倒谱系数等等功能-Speech signal analysis software, extract Simmel cepstral coefficient features, etc.
lpc
- matlab 求线性倒谱系数,用于语音识别-matlab linear cepstral coefficients for speech recognition
cepstrum
- 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.
LPCC
- 可以在CCS中运行的LPCC程序，包括语音参数分析主函数，信号的自相关函数，由自相关函数计算LPC预测系数，由LPC预测系数计算LPC倒谱系数，由LPC预测系数计算MEl到普系数等函数-CCS can be run at the LPCC procedures, including analysis of voice parameters of the main function, the signal autocorrelation
MFCC
- 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. MFC
CepSmoothing_test
- cepstral smoothing module and demo
Cepstrum
- 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
Speech_Test
- 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
melmfcc
- 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 ext
mfcc
- 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
speech_recognition
- Speech Recognition using MEL cepstral Coefficients
yuyinshiyupinyufenxi
- 语音信号的时域频域分析，从短时能量到语谱图，以及线性预测参数和梅尔倒谱系数-Speech signal in time domain frequency domain analysis, from the short-term energy to the spectrogram, and the linear prediction parameters and the Mel cepstral coefficients, etc.
imm3851
- This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segment
lpcc
- 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
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 algorith
Frequency-Cepstral-
- 基于Mel频率倒谱系数和遗传算法的煤矸界面识别研究-Recognition of gangue interface Mel Frequency Cepstral Coefficients and Genetic Algorithm