搜索资源列表
Speech-Signal-Processing
- 语音信号处理c语言程序-音高、加窗、MFCC、PLP、等-C programming language speech signal processing- pitch, add window, MFCC, PLP, etc
mfcc_m
- 可以实现梅尔倒谱系数参数的分析与合成mf-You can achieve Mel Cepstral parameters analysis and synthesis mfcc
mfcc_extraction
- 音频特征MFCC系数提取函数,包含静态12维,一阶差分和二阶差分24维,共36维,能够极大地提高音频识别的效果。-MFCC coefficient audio feature extraction functions, including static 12-dimensional, first-order and second-order differential difference dimension 24, a total of 36 dimensions, can greatly im
lpc
- hai I wnat to know how the mfcc feature extraction done with examples-hai I wnat to know how the mfcc feature extraction done with examples...
pxc3879438
- An automatic speech recognition system for Digits in Malayalam Language is implemented using MFCC and GMM.
shuohuaren
- 识别说话人,通过mfcc算法,实现说话人识别,- Speaker Recognition
penew
- 用matlab对语音信号进行mfcc参数提取-MFCC parameter extraction of speech signal using MATLAB
enframe.m
- mfcc的子函数编写,enframe函数的程序,分帧函数-Functions enframe function of writing mfc
cmvnpdf.m
- mfcc的参数实现,对声音的加窗和降噪处理-mfcc parameters to achieve
melbankm.m
- mel频率到普系数的处理,mfcc特征参数提取-mel frequency spectral coefficients down process, mfcc feature extraction
STM32-Speech-Recognition-Master
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是:预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后,根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真,经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上,移植过程中根据 STM32 上存储空间相
mfcc_m
- 实现mfcc梅尔倒谱系数的参数提取,可以修改具体参数把功能进行少许变更-The parameter extractions mfcc Mel cepstral pedigree, you can modify the specific parameters of the function a little change
JLDATA
- 摘 要:本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗(汉明窗)、端点检测;特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW),研究对象是特定人的语音识别,并在MATLAB平台上实现。为了进行后续研究,首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件,并转化成 “.wav”格式的文件。-Abstract: This thesis
convert-speech-to-text
- convert the given speech to a text by using DWT , MfCC and LPC method to extract , match the given speech and convert it to the written text
pca_kmeans_VQ
- 基于PCA+k-means聚类的语音识别算法,参数用LPCC+MFCC以及动态参数,识别率高已发SCI论文-Based on PCA+ k-means clustering speech recognition algorithm, parameters and dynamic parameters LPCC+ MFCC recognition rate sent SCI papers
afet
- 一种针对语音分析和处理的快速特征提取工具软件,它采用标准的MFCC,PLP和TRAPS,并用GPU加速-A fast feature extraction software tool for speech analysis and processing.It incorporates standard MFCC, PLP, and TRAPS features.It uses GPU acceleration.
MFCCfinal
- 梅尔倒谱系数,用于计算语音信号的特征系数,然后使用这些特征系数对语音信号进行重建-MFCC,one algorithme to calculater the feature of voice signal, ad we can use these features to reconstruct voice signal
LFCC code
- LFCC and MFCC feature extraction- matlab function
MFCC code
- feature extraction for audio files
feature_mfccs
- mfcc for feature excetratction voice recognition