搜索资源列表
Dratio
- 用MATLAB编程来实现语音信号中D比的计算，D比在说话人特征提取中有应用-MATLAB programming to voice signals over the D, D than in the Speaker feature extraction Applications
matlabyuyinshibiesuanfa
- matlab语音识别算法，包括预处理，特征提取，训练，识别算法，基于hmm模型-Matlab speech recognition algorithms, including preprocessing, feature extraction, training, recognition algorithm based on model hmm
SpeakerRecognitionsystem
- 本程序是用MATLAB设计并实现一个简单的说话人识别系统,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. -this procedure is used MATLAB design and implement a simple speech recognition system, Its main function modules including voice signal input management module, voi
MFCC
- 语音识别，语音特征提取。 语音识别，语音特征提取-Speech recognition, speech feature extraction. Speech recognition, speech feature extraction
matlab ADMF
- ADMF，短时平均幅度差函数法，利用这个方法获得语音的基音周期，实现语音特征提取
LPCC-VAD
- 用于语音特征提取算法matlab实现，以及重构语音信号-For voice feature extraction algorithm matlab realize, as well as reconstruction of the speech signal
mfccyuyinshibie
- 采用不同样本进行语音特征提取，来实现不同说话人身份的识别-Different samples of voice feature extraction to achieve recognition of different identities speaker
octave
- 声学滤波 基于octave filter bank的语音特征提取及滤波，用于辅助听力器材设计 -Acoustic filter characteristics octave filter bank based speech extraction and filtering design for assistive listening devices
ShihHsiang
- 数据拟合与分群方法于强健语音特征提取之研究-Exploring the Use of Data Fitting and Clustering Techniques for Robust Speech Recognition
voice-recognition
- 3、语音特征提取与分类 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。-3, the voice feature extraction and classification First, to be recognized voice into electrical signals input recognition system, after pretreatment with a mathematica
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
mfcc-lpcc
- 语音特征提取代码，提取mfcc和lpcc。-Speech feature extraction code, and extract mfcc lpcc.
MFCC2
- 用于语音特征提取，梅尔系数，对于区别较大的信号有很好的效果(Speech feature extraction)
audio-compare
- 对语音进行mfcc特征提取，拥有自己的vad模块(MFCC feature extraction of speech, and own VAD module)
预处理和mfcc
- 里面有两个程序已经调试成功，其一是语音预处理，其二是语音特征参数提取：mfcc(Preprocessing of speech signa)
short_zero_crossing_rate
- 语音信号的短时过零率求取，此过程为语音信号的一个重要特征提取过程，可用于端点检测等过程。(This process is an important feature extraction process for speech signals and can be used for endpoint detection and other processes.)
基于DTW算法的语音识别系统
- 通过语音分帧、端点检测、特征提取、DTW算法，实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)
voice_wav_frequency
- matlab语音信号分析时域频域，加窗，降噪滤波，端点检测，时域特征和频域特征提取(Matlab speech signal analysis in time domain, frequency domain, windowing, denoising, filtering, endpoint detection, time domain feature and frequency domain feature extraction.)
LPCC
- 线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)
语音情感识别
- 基于matlab的语音情感识别代码,通过对语音进行特征提取，最终实现离散情感识别(speech emotion recognition based on matlab)