搜索资源列表
检测语音信号
- 语音的端点检测要用短时平均能量来检测 语音特征的提取要用13阶的lpc 模式匹配要用欧氏距离。
b.rar
- 这是一个语音特征提取的程序源码，供大家分享！,一个语音特征提取的程序源码
MFCC_matlab.rar
- 基于MATLAB的语音识别MFCC特征提取算法,MATLAB-based speech recognition MFCC feature extraction algorithm
MELCEPST
- MATLAB下计算Mel倒谱的函数，在语音特征提取方面常用-Mel cepstrum calculated under MATLAB functions used in the speech feature extraction
DTWMFCC
- DTW与MFCC相结合的语音特征提取算法，改进了MFCC的性能-Combination of DTW and the MFCC feature extraction algorithm for voice, improving the performance of MFCC
lpc
- 利用matlab实现语音的lpc特征提取，可以加入语音后直接使用，仿真图中对特征系数、误差等分析清晰有效-Using the lpc matlab voice feature extraction, can be added directly after the speech, the simulation graph of the characteristic coefficient of error so clear and effective
LPCC_MFCC_VAD
- MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source
endpointdetecting(matlab)
- 语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
Assignment2
- 国外高校老师编写的语音信号特征提取程序，非常实用初学者研究- [E, V, A, P] = analysis(x, N, U, M) extracts vocoder parameters E, V, A, and P from the speech signal x on a frame by frame basis. N is the analysis frame length, U is the update length, and M is the order of the
matlab_speechrecog
- 语音识别特征提取程序，对语音分析很有帮助-Speech recognition feature extraction procedures, helpful speech analysis
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
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
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
DNN
- 使用神经网络进行语音增强，包括语音特征提取，DNN，语音重构(Speech enhancement using neural networks)
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)
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.)
PNCC语音参数提取
- PNCC语音参数是新一代的语音特征参量，可以看作是对MFCC进阶，研究证明相对MFCC在实际含噪声环境中有更佳鲁棒性能。这里给出原版matlab算法。
MFCC语音特征提取Matlab程序
- MFCC语音特征提取Matlab程序。用于语音信号的MFCC方法特征提取。Matlab源码
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)