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mfcc.m
- 梅尔频率倒谱系数(Mel Frequency Cepstrum Coefficient, MFCC)-Mel Frequency Cepstral (Mel Frequency Cepstrum Coefficient, MFCC) pedigree
Voice Discern For STM32F
- 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
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
DTW-isolated-word-speech-recognition
- 基于动态时间规整的孤立词语音识别，用梅尔倒谱系数作为识别特征。-Based on dynamic time warping of isolated word speech recognition, using Mel s coefficient as the recognition feature.
MELBANKM
- 在DTW语音识别算法中经常会用到的在MEL频率下组成的若干个带通滤波器-DTW speech recognition algorithm is often used in the frequency of the MEL composed of a number of bandpass filter
mfcc
- 梅尔频率倒谱系数（MFCC）提取语音特征信号-Mel Frequency Cepstral Coefficients (MFCC) feature extraction of voice signals
rastamat
- Program to extract feature vectors audio file using mel frequency scale-Program to extract feature vectors audio file using mel frequency scale
MFCC
- 使用MATLAB提取梅尔倒谱系数MFCC特征值-Using MATLAB MFCC feature extraction of Mel-cepstrum coefficient values
mfcc
- mfcc mel frequency cepstrum coff good
mel_filtering
- 对声音信号进行MEL滤波，增大声音的识别能力-Using MEL sound signal filtering to increasing the voice recognition ability
Untitled2
- MFCC 特征参数 提取一段音频的梅尔系数特征参数的matlab源代码-Extract the MEL coefficient of an audio characteristic parameters of the matlab source code
MFCC_success
- 梅尔频谱的应用，处理声音信号，提取声音特征，得到声音特征-Mel spectrum of applications, processing audio signals to extract audio feature to give audio feature
mfcc
- Features extraction form voice signal, mel frequency cepstral coefficients, mf-Features extraction form voice signal, mel frequency cepstral coefficients, mfcc
dtw
- mel bank filters fo features extraction for voice signal
pre_recognition
- 声音识别中的分帧、加窗、mel滤波器的设计及滤波功能-in the field of speech recognition，these codes could make it come true that enframing and hamming.Also, it involves the designs of mel filter.
pointfind
- matlab实现语音信号基于mel滤波器的端点检测，并应用于一个语音文件上。-Matlab to achieve voice signal based on mel filter endpoint detection, and applied to a voice file.
pntegrate
- Of MEL frequency cepstrum coefficient of matlab, a good source, can very we-Of MEL frequency cepstrum coefficient of matlab, a good source, can very well
wjequency__can__good
- Of MEL frequency cepstrum coefficient of matlab, a good source, can very we-Of MEL frequency cepstrum coefficient of matlab, a good source, can very well