资源列表
隐含层为mexihat 输出为sigmal的wav-sigal
- 用三层小波神经网络实现的与文本无关说话人识别。（识别部分）。输入的是语音特征，输出的是识别结果。训练用的语音特征要事先提取出。-with three wavelet neural network has nothing to do with the text of Speaker Recognition. (Recognition). The admission of voice features, the output is the result of recognition. Trainin
binary_io
- this the second phase of hmm code-this is the second phase of hmm code
Speech_signal_short_time_analysis
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序
dtw
- 基于MATLAB的语音识别系统,dtw － DTW算法演示程序 mfcc.m － MFCC参数计算程序 dtw.m － 基本的DTW算法 dtw2.m － 优化的DTW算法 testdtw.m － DTW算法测试程序 vad.m － 端点检测程序 -Speech Recognition System Based on MATLAB
mel
- 语音信号处理中的梅尔断点检测，多次实现，原理相同，差别比较小。
hmm
- 实现mffc求解 并且可利用hmm进行孤立词识别
wav_handle
- c语言写的wav音频文件简单处理函数源码，包括wav_io处理，提取lpc系数、plar系数，可用于语音识别和合成中。可直接调用。-wav audio files simple c language handler source, including wav_io processing, extraction lpc coefficient plar coefficient, can be used for speech recognition and synthesis. Can be cal
matlab
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation functio
tensorflow_speech_recognition_demo-master
- 此程序为语音识别深度学习程序，使用python程序编写。(This program is written for the speech recognition depth learning program, using the python program.)
最终代码说话人识别
- 实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)
Speech_recognition_with_DTW
- A source code of a speech recognition system based on DTW
kaerman
- 语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行卡尔曼滤波，实现语音增强的功能。-The voice signal denoising, the Kalman filter, the noisy speech signal in the MATLAB development environment Wave, speech enhancement.