▍1. SMI
智能天线波束形成的LMS、SMI、RLS算法的程序(Smart antenna beamforming of LMS, SMI, RLS algorithm procedure)
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▍2. VAD-1
C语言实现的端点检测,具有良好的效果,对于做语音识别者来说，是很好的参考(C language implementation of endpoint detection, with good results)
▍3. HMM_matlab
这是基于隐马尔可夫模型的连续语音识别代码，不同于dtw,这是个完整的工程，我把需要的voicebox也放进去了，一共用到9个子函数，包括模板的训练算法何识别算法，是完全可以使用的。(This is based on the hidden Markov model of continuous voice recognition code, different the dtw, which is a complete project, I need to put the voicebox into a total of nine sub-functions, including the template training algorithm to identify the algorithm, Is fully available.)
▍4. 语音信号处理实验教程-源代码
语音信号处理第三版 赵力等编著 配套程序(Codes of speech signal processing 3rd.)
▍6. 用Matlab实现DTW孤立词识别
做语音识别时用到DTW 算法。便于初学者的学习。(DTW algorithm is used for speech recognition. Easy for beginners to learn.)
▍7. wden1.rar
优化小波阈值，对硬阈值和软阈值的改进，通常用于语音信号增强，去噪(Optimization of wavelet threshold, the hard threshold and soft threshold improvement, commonly used in speech signal enhancement and denoise)
▍8. EndpointDetection_Pitch
这是一个与语音识别与端点检测有关的文件,是用C++写的源程序,相信对大家有用(This is a speech recognition with the Endpoint Detection of the documents are written in C source files, it may be useful to think)
▍9. 功能是在语音中提取基音频率的程序pitch
matlab程序，功能是在语音中提取基音频率的程序。输入为.wav格式的语音文件，输出各帧基音频率。(matlab procedures, functions in the voice pitch frequency extraction procedure. Input. Wav format audio files, the output of the frame pitch.)
▍10. matlab_pitch_tone
基音提取并换算成音高,matlab程序，加入了优化的功能使得结果更好(Pitch extraction and converted into pitch, matlab program, joined the optimization of the function of making the results better)
▍11. audioProcessingtoolbox
这是一个语音处理工具箱，提供了语音处理的基本函数，包括有分帧、能量计算、零交叉计算、多种方法的音调提取、共振峰提取。。。等等。(This is a speech processing toolbox provides the basic function of voice processing, including one of those who frame, energy calculation, zero cross-terms, various methods of pitch extraction, formant extraction. . . And so on.)
▍12. 语音识别与合成入门2（内有matlab源码）
语音识别与合成入门2，word或压缩包中内有matlab源码(speech recognition and synthesis 2 entry, word or compressed packages within Matlab FOSS)
▍13. temp_matlab
语音的识别的前端技术，语音的基音周期检测(Front-end voice recognition technology, Voice Pitch Detection)
▍14. duanshipingjunnengliang
短时平均能量和平均幅度差函数进行基音检测的方法(Short-term average energy and average magnitude difference function pitch detection method)
▍15. 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 called directly. )
▍16. Speech_Enhancement
语音增强电子书，国外经典教材，自适应滤波，卡尔曼滤波，最小均方算法等等(speech enhancement ebook)
▍17. speech processing
中国科学技术大学本科课程语音信号处理实验代码(speech processing code for USTCers)
▍18. Fast ICA
基于ICA和PCA相结合实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on ICA and PCA, and then the mixed speech signal is separated by blind separation.)
▍19. ABSE
熵值越大则每个符号包含的平均信息量越大。有研究发现，在有噪声的语音信号中，语音信号的熵和噪声信号的熵存在着较大的差异，对噪声信号来说在整个频带内分布相对平坦，熵值小，语音信号集中在某些特定频段内，熵值大。因此利用这个差异可以区分噪音段和语音段。(The greater the entropy is, the greater the average information of each symbol is. It is found that, in noisy speech signals, the entropy of speech signals and the entropy of noise signals are quite different. For noisy signals, the distribution is relatively flat in the whole frequency band, and the entropy value is small. The speech signal is concentrated in some specific frequency bands, and the entropy value is large. So the difference can be used to distinguish the noise segment and the speech segment.)
▍20. 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(Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-term rate of poor cepstrum, complex cepstrum, lpc coefficients, lpc spectral estimation, such as an absolute guarantee that the quality of instructors is the security arrangement after the inquest some of the basis of procedures)
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