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MFCC
- 用于语音信号MFCC特征提取的matlab程序-matlab program of MFCC feature extraction for speech signal
Speech-recognition
- 语音识别系统中用来端点检测和特征提取的matlab程序-endpoint detection and feature extraction of Speech recognition
Extract_Feature
- 非常完整的语音信号提取matlab源码。 包含PLP特征提取，mfcc特征提取，plcc特征提取。-Very complete voice signal extraction matlab source. Contains PLP feature extraction, mfcc feature extraction, plcc feature extraction.
Speech-signal
- 语音信号特征提取与分析系统，包括时域特征的提取，频率特征的提取等。-Speech signal feature extraction and analysis
sharks_1.0
- 小波分析在语音特征参数提取方面的应用,很实用，经测试！-Wavelet analysis in terms of the voice feature extraction!
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
GMM
- 基于GMM说话人识别特征提取 1、需要有语音工具箱 2、训练和测试包含了加噪的代码 3、包含噪声数据 4、没有包含语音数据 5、语音数据可以自行录制或者找一段语音-Extraction Based on GMM speaker recognition feature A need to have a voice toolbox 2, the training and testing included adding noise code 3, including n
Speech-Recognition-System
- 本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1
mfcc
- 语音信号处理中MFCC特征提取程序，用于语音识别的特征提取-Speech Signal Processing MFCC feature extraction program for speech recognition feature extraction
MFCC
- MFCC算法实例及源代码实现，用于提取语音特征进行进一步对比-Example of MFCC algorithm and Realization of the source code, for extracting speech features for further comparison
audiolazy-0.03
- 声学语音处理的python源码，基础语音处理的程序包括各种语音滤波处理，gammotan滤波，特征提取等-Acoustic speech processing python source code, the program includes a variety of basic speech processing voice filtering, gammotan filtering, feature extraction, etc.
1
- 说话人识别系统,其主要功能模块包括语音信号的输入管理模块 ,语音的鉴别即特征提取块,语音的认证模块,程序很全-Speaker recognition system, its main function modules including voice signal input management module, voice identification of feature extraction, namely voice authentication module, the program i
VOICE-BOX
- 语音识别常用工具箱，包括lpc，lpcc等常用的特征提取函数以及vad等。迟早会用到。-Common speech recognition tool,it includes the commonly used features lpc, lpcc and other extraction function and vad like. Sooner or later it will be used.
mfcc
- 语音识别MFCC特征提取matlab代码。 「梅尔倒频谱系数」（Mel-scale Frequency Cepstral Coefficients，简称MFCC），是最常用到的语音特征，此参数考虑到人耳对不同频率的感受程度，因此特别适合用在语音辨识。-Speech recognition MFCC feature extraction matlab code. \ Mel cepstrum coefficient (Mel- scale Frequency Cepstral Coefficien
opensmile-source-1.0.1
- 该工具包为语音特征的自动提取工具 用于语音识别特征的提取 只需输入相应指令便可自动提取-Extraction Automatic extraction tool for voice recognition feature of the kit for the speech features simply enter the corresponding command will automatically extract
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
icudt24l
- 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-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 Extraction of speaker characteristic the voice signal is the key of voiceprint recognition. Mel frequency coefficients of the feature extr
MFCC
- 用C++写的语音识别中的MFCC特征提取 有详细代码注释-feature extraction of MFCC BY C++
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
AntiSpoofing_Features
- 基于matlab的声音特征提取，可用于语音识别和声纹识别-Matlab-based audio feature extraction, can be used for speech recognition voiceprint recognition