资源列表
voice-web-master
- 可以实现基础语音识别，语音合成，语音转文字输入(Basic speech recognition, speech synthesis, speech conversion)
double_threshold
- 传统的语音信号双门限端点检测算法，适用于高信噪比，低信噪比不适用。(The traditional double threshold detection algorithm for speech signal is suitable for high signal to noise ratio and low signal to noise ratio.)
rebuilt.HumanTimbre_recognition-master
- 利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)
noise_estimation
- 压缩包内程序主要实现IMCRA算法，用于语音增强。(Compressed package program main realization IMCRA algorithm for speech enhancement.)
Audio-Watermarking-master
- 鲁棒数字音频盲水印水印置乱算法实现基于阿诺德变换的离散小波变换，离散余弦变换(Robust Blind Digital Audio Watermarking Implementation Based on Watermark Scrambling Algorithm-Arnold Transform Discrete Wavelet Transform,Discrete Cosine Transform,Erro Cor
speech_denoising
- 高斯噪声背景下的语音去噪，附加matlabUI界面(Speech denoising under Gauss noise background)
vad
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)
171724210736171
- MFCC：Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征。(Speech signal feature extraction)
beamforming1
- 语音信号处理，阵列为10阵元线阵，宽带和窄带波束形成(Speech signal processing, 10 sensors of microphone linear array,Broadband and narrowband beamforming)
MFCC
- 本程序使用python编写的用于提取mfcc特征(extract feature of MFCC)
mfcc
- 采用MFCC方法提取训练集样本或测试集样本语音特征参数的MATLAB程序，仿真时需先将voicebox语音处理工具箱添加到MATLAB软件中(The MFCC method is used to extract the MATLAB program of the training set sample or the test set sample speech feature parameters. The voicebox voice processing toolbox is added t
fixedbeam
- 经典麦克风语音增强算法，当阵元数目越多，语音增强效果越好(Classical microphone speech enhancement algorithm, the more the number of elements, the better the speech enhancement effect)