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speakerrecognition
- 本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征，用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm.
mfcc_c
- 用于Matlab环境下的MFCC程序，提取情感语音信号特征-Used for Matlab environment of MFCC program，Extraction emotional speech signal characteristics
voice-recognition_matlab-code
- 读入语音文件，并对其做时域、频域的分析，提取相关特征参数。进行线性预测分析，得到LPC谱等线性预测参数，并做了基于预测误差的基音周期估计。-read .wav files，analysing them in time domain，frequency domain and extract some feature parameters related，then do linear prediction analysis ，and get LPC linear prediction paramet
yuyinshiyutezheng
- 对语音信号进行处理时需要提取各种特征参数，本程序时对语音信号各种时域特征的描述。-Need to extract the characteristic parameters of the speech signal processing, a descr iption of the voice signal a variety of time-domain characteristics of this program.
1
- 本程序是基于模板匹配的语音识别技术。提取语音的特征，并建立模板库。可以将语音识别技术应用于机器人-The program is based on a template matching voice recognition technology. Extraction of the pronunciation of the characteristic, and establish template library. Speech recognition technology can be app
34617501LPCMCC
- 基于倒谱特征的说话人识别技术 提取语音的倒谱特征进行说话人识别-based Cepstral Speaker voice recognition technology from the Cepstral for Speaker Recognition
tROBBOTsysteeh
- 本程序源码是一种基于模板匹配的语音识别技术。提取语音的特征征，并建立模板库。能将语音识别技术应用于机器人。 可直接使用。 -this program is based on template matching speech recognition technology. Extraction of voice featuures, and the establishment of Template Library. Voice recognition can be used in robo
MFCC-extration
- 提取MFCC，即美尔倒谱系数，作为语音识别与合成必须的特征向量-Extract MFCC, Mel cepstral coefficients, as voice recognition and synthesis must eigenvectors
mfcc-vq
- mfcc特征参数提取并用矢量量化技术进行说话人识别。-mfcc characteristic parameter extraction and speaker recognition using vector quantization techniques.
matlab_DTW
- 按所学相关语音处理的知识，自己设计一个孤立词语音识别程序，分析所设计系统的特性。熟悉不同模块间如何进行有效的组合，以及模块内的设计，重点掌握特征参数的提取和模式识别方法，并对不同的特征参数提取方法和模式匹配方法有大概的了解，知道其不同的优缺点。-The learned voice processing knowledge, an isolated word speech recognition program of their own design, analysis of the design
yinpintiqu
- WAV提取特征向量，实现wav的处理-Voice extract audio, wav processing .......................................... .......
Vector-quantization
- 语音识别提取特征向量后用到的矢量量化代码。含有中文注释，感兴趣的可以参考一下。-Used in the speech recognition feature extraction vector vector quantization code. With Chinese comments, interested can refer to.
tone_recognition
- 通过向量化方法，提取量化特征，实现四声语调识别系统。-tone recognition system
mfcc
- mfcc.m 用于语音识别上的mfcc特征参数提取函数。-mfcc.m mfcc characteristic parameters for speech recognition on the extraction function.
DEMO
- 我们设计并实现了一种用于实时检测语音基频（pitch）、提取音乐旋律（melody）的软件。 语音或者音乐的基频是一种很重要的特征，可以用在很多研究与应用中。比如：用于普通话语音声调的识别和确认；语音流利度的分析；音乐旋律的提取用于哼唱检索等。读者可以参考我们之前的博文：http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=723808-We design and implement software for r
MFCC
- 用于语音识别中的MFCC特征系数的提取，并包含mel滤波子函数-Used to extract the speech recognition feature MFCC coefficients and contains mel filter Functions
Speech-recognition
- MFCC参数是基于人的听觉特性利用人听觉的屏蔽效应，在Mel标度频率域提取出来的倒谱特征参数。-MFCC parameters is based on human auditory characteristics using human auditory masking effect, in Mel scale frequency domain parameters of cepstrum.
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
mfcc_m
- 梅尔特征参数提取可以设置的Mel滤波器通道数，采样频率-Mel feature parameters extraction can be set to the number of Mel filter channels, sampling frequency
Untitled2
- 语音信号是一种非平稳的时变信号，提取的特征参数短时平均过零率-Voice signal is a non-stationary time-varying signal, the extracted characteristic parameter time average zero-crossing rate