搜索资源列表
SPlatForm
- 我自己用vc写的语音特征提取程序，执行程序后，在上面的搜索前输入你的音频文件的路径，按搜索就回把把结果存放到e:/tt.dat里面，你还要在e盘建立一个tt.txt文件-I write with vc voice feature extraction procedures, implementation procedures, in the above search before you import the audio files path, according to search put b
rasta-2_3
- RASTA is a program for performing feature extraction in speech recognition systems. It takes files or streams of audio data and produces files or streams of feature vectors. Three feature extraction approaches are supported - PLP, log-rasta and
rasta2_2_2
- RASTA is a program for performing feature extraction in speech recognition systems. It takes files or streams of audio data and produces files or streams of feature vectors. Three feature extraction approaches are supported - PLP, log-rasta and
rasta2_2_3
- RASTA is a program for performing feature extraction in speech recognition systems. It takes files or streams of audio data and produces files or streams of feature vectors. Three feature extraction approaches are supported - PLP, log-rasta and
rasta2_3beta
- RASTA is a program for performing feature extraction in speech recognition systems. It takes files or streams of audio data and produces files or streams of feature vectors. Three feature extraction approaches are supported - PLP, log-rasta and
SpeechFeatureV1_0
- 语音特征提取 读取一段语音，输出语音文件的短时对数能量和短时过零率等特征-Voice reading a speech feature extraction, the output audio file of the short-time energy and short on the number of features such as zero-crossing rate
jAudio-1.0.4
- jAudio：音频特征提取 作者：Cory McKay -jAudio: Towards a standardized extensible audio music feature extraction system Cory McKay
fenzhenchuli
- 语音特征提取，如过零率，能量比，短时能量。须导入MAV音频。-Voice feature extraction, such as zero-crossing rate, energy ratio, short-term energy. MAV audio to be imported.
hmmselforiginal
- 特征分析对于声音信号的处理非常有用，希望这个能对大家有用-Feature Analysis for the audio signal processing is very useful, hope this will be useful to everyone
jAudio
- jaudio 音频特征提取软件说明文档 提取音频相关的底层特征-jaudio audio feature extraction software, documentation related to the underlying audio feature extraction
audio
- 音频信号特征提取实验与编程指导，有相关代码说明-Audio Signal Feature Extraction
speechfeaextra1
- Short introduction to speech feature extraction code: Step 1: Create speech features: If you have a one stereo file with each speaker in one channel use: features = speech_features_stereo( demo.wav ) If you are using several mo
mfcc-feature-extraction
- 针对语音识别中MFCC特征提取，从HTK3.4.1版本中抽出MFCC提取模块，可以单独运行，对一批wav录音文件进行MFCC特征提取，一个wav文件对应一个特征文件。并且备有详细的注释，有利于语音识别初学者学习使用。-MFCC extraction module extracted from HTK3.4.1 version for speech recognition MFCC feature extraction, can be run separately, MFCC feature ex
mfcc
- 语音识别用到的特征提取，c程序编写的，可以运行，输入音频文件，可以得到特征向量。-Used by the speech recognition feature extraction, you can run the c programming, input audio file, you can get the feature vector.
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
telephonevoice
- 采用离散变换对电话数字声音识别，绘制频谱，获取数字声音特征-Discrete transform digital telephone voice recognition, draw the spectrum, to obtain a digital audio feature
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
time
- auido 时域特征提取，并练习matlab gui(Auido time domain feature extraction and practice Matlab GUI)
audio-feature-extraction
- 音频的特征提取，是用python写的，里面有readme可以查看(audio features extraction)
基于MFCC的GMM的语音识别
- 基于MFCC的GMM的语音识别，先是通过MFCC提取语音信号的特征向量，然后用GMM进行分类识别(Voice recognition of GMM based on MFCC.First, the feature vectors of speech signals are extracted through MFCC, and then classified by GMM.)