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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.
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.
speechrecognition
- 语音识别,包括音频读入、特征提取、动态时间规整等函数-Voice recognition, including audio reading, feature extraction, dynamic time warping function, such as
Speech-signal-classification-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech re
classification-of-Speech-signal-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果-Recognition is the speech characteristic signal in the field of speech recognition is an i
CFCC
- 语音特征参数CFCC的提取代码,原创作品。matlab程序,含参考文献及毕业论文,参考价值比较大吧-CFCC speech feature parameter extraction code, original works. matlab procedures, including references and thesis, the reference value is relatively large bar
MFCCEX
- MFCC 特征提取。用于语音识别等方面,通过特征提取,然后再进行识别操作-MFCC feature ,using voice recognition
1
- 声控儿童玩具的设计与制作 机器自动语音识别的研究工作起始于上世纪50 年代,1952 年Bell 实验室的Davis,Biddulph 等人建立了第一个可以识别孤立英文数字的语音识别系统。六十年代对语音信号的研究主要是特征分析与特征提取,人们发现人耳对声音中不同的频率有不同的分辨率和反应强度,从而提出临界频带理论(Critical Band Theory)。当时由于计算机技术的限制,只能用专用硬件进行谱分析再由计算机识别。- now no singe
DTW
- 语音识别的matlab仿真,有文档详细说明,MFCC特征提取,DTW算法识别。对10个简单语音命令进行识别-Speech recognition matlab simulation, documentation detailed descr iption, MFCC feature extraction, DTW algorithm to identify. On 10 simple voice command recognition
feature_selection_mfcc
- mfcc: 在语音识别中是一个非常重要的特征提取函数-mfcc: is a very important feature extraction function in speech recognition
speech-emotion-recognition
- 过特定人语音情感数据库的建立;语音情感特征提取;语音情感分类器的设计,完成了一个特定人语音情感识别的初步系统。对于单个特定人,可以识别平静、悲伤、愤怒、惊讶、高兴5种情感,除愤怒和高兴之间混淆程度相对较大之外,各类之间区分特性良好,平均分类正确率为93.7 。对于三个特定人组成的特定人群,可以识别平静、愤怒、悲伤3种情感,各类之间区分特性良好,平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。-The system of speech emotion recognition
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