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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. MFCCs derived as follows: 1. Ta
CepSmoothing_test
- cepstral smoothing module and demo
HFCC
- hfcc: human frequency cepstral coefficient for speech recognition front end
mfcc
- MFCC algorithm for calculating mel frequenc cepstral coefficients.
TMelfrequencyh
- 这是语音识别中Mel频段倒谱系数数(MFCC)的计算程序 -This is the speech recognition Mel-band cepstral coefficient coefficient (MFCC) calculation program
Fmelmfccr
- 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的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -Extracted from the speaker' s voice signal in the speaker' s personality is the key to the voiceprint identification. Introduces the speech signal feature extraction method in Mel cepstra
TDTWspeecchh
- 本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括括语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取，采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别 -This paper first introduces the research and
aa
- 用matlab编写的代码在音频中mel倒谱系数提取-Code written using matlab audio mel cepstral coefficients extracted
mymfccdtw
- 用DTW分析wav文件的MFCC倒频系数，以识别说话人的程序-Wav files using DTW analysis MFCC cepstral coefficients, in order to identify the speaker' s program
melbankm
- 这个函数也要被melcepst函数调用，用来进行计算Mel倒谱系数。这个函数的作用是构造mel滤波器组。-This function must be called melcepst function is used to calculate Mel cepstral coefficients. The role of this function is to construct mel filter bank.
3MATLABYUYIN
- 3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.
1
- 语音识别中的端点检测，是基于倒谱特征，可以检测出语音段-Speech Recognition endpoint detection is based Cepstral, can detect speech segments
libmfcc-a99d34a62ba4
- This program demonstrates the use mfcc to determine cepstral coefficients
mfccPvadPdtw
- 语音识别程序。Me频率倒谱系数的缩写mfc+语音检测vad+dtw动态时间归整dtw算法-Speech recognition program. Me frequency cepstral acronym mfc+ voice detection vad+dtw dynamic time warping algorithm dtw
MFCC1
- 提取语音的MFCC特征参数，在语音识别（Speech Recognition）和话者识别（Speaker Recognition）方面，最常用到的语音特征就是梅尔倒谱系数（Mel-scale Frequency Cepstral Coefficients，简称MFCC）。-MFCC feature parameters extracted speech, speech recognition (Speech Recognition) and speaker verification (Speak
jytz.m
- 求取倒频谱系数，可对声音信号进行分析，是一种特征提取方式-Obtaining cepstral coefficients, can the sound signal analysis, feature extraction is a way
obj_evaluation
- comp_snr.m总体和节段SNR，comp_wss.m加权频谱斜率度量，omp_llr.m似然比测量，comp_is.m板仓斋藤措施，comp_cep.m倒谱距离测量，addnoise_asl.m 基于活动语音水平以指定的SNR将噪声添加到干净的信号 -comp_snr.m Overall and segmental SNR，comp_wss.m Weighted-spectral slope metric，comp_llr.m Likelihood-ratio measure ，com
mfcc
- 以下文档是理解梅尔倒谱系数的很好的pdf文档，介绍的比较详细(The following document is to understand the Mel cepstral coefficients of the very good PDF document, introduced in more detail)
MLCC
- Calculate Mel-frequency cepstral coefficients by: - take the absolute value of the STFT - warp to a Mel frequency scale - take the DCT of the log-Mel-spectrum - return the first <ncep> components