资源列表
提取语音信号基频
- 用自相关函数提取语音信号基频，提取音频文件的基频等高线(Use the autocorrelation function on segments of the signal (windowsize: 100ms) and compute the fundamental frequency. Use a max_time_lag of 100ms in the autocorrelation function and a window shift of 25ms. Create a fundame
语音处理资料
- 语音软件 ，包含 基本录音，语音预处理，语音截断 ，语音识别等， 课件ppt ，语音课程入门(Voice software, including basic recording, voice pretreatment, voice truncation, voice recognition, etc., The courseware PPT, voice introductory courses)
Face-Recognition
- this source about face recognition
案例1 BP神经网络的数据分类-语音特征信号分类
- 使用BP神经网络的数据分类-语音特征信号分类(Data classification using BP neural networks -- speech feature signal classification)
离线中文语音合成
- 离线实现中文语音合成算法，文字转化为声音输出(Offline implementation of Chinese speech synthesis algorithm)
kedaxunfei
- 语言识别，语言合成，语音转文字，文字转语音(Speech recognition, speech synthesis, speech to text, text to speech)
BDWK-BP神经网络在汉语数字语音识别中的应用
- BDWK-BP神经网络在汉语数字语音识别中的应用(Application of BDWK-BP neural network in Chinese digital speech recognition)
15810493voice_recognition
- 提取声音基频，对于语音识别和语音频谱分析提供一定便利(Extraction voice frequency)
QttsDemo
- 一个简单的语音识别例子，基于讯飞语音识别系统(A simple example of speech recognition)
Voice
- 语音识别，简单调用百度语音SDK来实现语音识别(Speech recognition, simple call Baidu voice SDK to achieve speech recognition)
ICA
- 本程序音频共有四个，借助鸡尾酒会问题思想，用ica算法实现四个音频的分离(The audio program for a total of four, with the help of the cocktail party problem, realizing the separation of four audio using ICA algorithm)
HTK-3.4.1
- HTKbook 3.4 包括所有的HTK 语言的用法以及samples(HTK is a toolkit for building Hidden Markov Models (HMMs). HMMs can be used to model any time series and the core of HTK is similarly general-purpose. However, HTK is primarily designed for building HMM-based s