▍1. speex-1.2rc2.tar
语音压缩和回声消除，支持LINUX和其他平台(voip echo cancellation)
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▍3. 603
验证码识别简化源码程序,结合易语言位图操作支持库和应用接口支持库，实现验证码图像的识别简化。(Verification code identifying the source simplify procedures , combined with easy language bitmap operations support libraries and application interface support library that implements a simplified identification verification code image .)
▍4. corrcoef
C语音实现Matlab corrcoef（求两个信号的互相关系数），包括了Matlab的对比验证源代码(Calculate the correlation coefficient refer the Matlab function:corrcoef)
▍5. SpeechRec
基于DTW算法实现的语音识别程序，可以识别数字0 9，以及“正弦波，方波，三角波”，并将波形识别结果装入TXT文件中！(DTW algorithm based on speech recognition program that can recognize digits 0 to 9, and sine, square, triangle, and waveform recognition result is loaded into a TXT file!)
▍6. Speech-Signal-Processing
语音信号处理c语言程序-音高、加窗、MFCC、PLP、等(C programming language speech signal processing- pitch, add window, MFCC, PLP, etc)
▍7. cb_search
iLBC Speech Coder ANSI-C Source Code WebRtcIlbcfix_CbSearch.h.
▍8. pocketsphinx-0.8-win32
语音识别开源代码 sphinx 0.8 windows版本(sphinx 0.8，ASR)
▍9. speech-enhancement-
语音增强算法，基于人耳听觉掩蔽的维纳滤波(Subspace speech enhancement algorithm based on human auditory masking Wiener filter)
▍10. 402864
语音库开发工具源码，例程程序创建机读SAPI.SpVoice对象开发语音库。(Speech development tools source , routine program to create machine-readable SAPI.SpVoice speech object development .)
▍11. spetro.m
语音信号的语谱图生成函数，function [ ] = spetro(Winsiz, Shift, Base, Mode, Gray)，5个参数分别为帧长、帧移、取值门限（一般设为0）、彩色模式、灰度模式(This is a matlab function for creating speech spectrogram.)
▍12. Desktop
语音识别,有GUI界面，实现0~9数字语音识别(speaker identification)
▍13. 57578882test-one-(1)
语音识别程序，可以识别哪个声音是谁发出来的。(Voice recognition program, you can identify who sent the voice is coming.)
▍14. speaker
本系统是基于矢量量化技术的说话人识别系统。可根据语音库以及实时录音识别且具有图形用户界面。压缩包内含有源码、语音信息库音频及演示视频等。(The system is based on vector quantization speaker recognition system. Identifiable and has a graphical user interface based on speech and real-time recording. Within the compressed package contains the source code, voice information and presentation of audio and video.)
▍15. MSR-Identity-Toolkit-v1.0
微软研究院的说话人识别工具包，包括GMM-UBM、I-Vector。其中demo_gmm_ubm_artificial.m和demo_ivector_plda_artificial.m为生成模拟特征参数进行训练与识别的教学示例，十分适合初学者学习说话人识别基础算法。具体使用方法请看内部文档。(Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.m and demo_ivector_plda_artificial.m which generates an analog characteristic parameters for example teaching training and recognition, very suitable for beginners to learn the basic algorithm for speaker recognition. See the specific use of internal documents.)
▍16. GMM-MFCC
基于GMM的MFCC算法的说话人识别，Maltab的高斯混合模型，12维。(MFCC speaker recognition algorithm based on GMM)
▍17. spro-3.2
Speech PROcessing tools. First edit the makefile to match your needs
▍18. voicesignalprocessing
语音识别中信号特征的提取，基因周期估计，共振峰估计等。(Signal feature extraction in speech recognition, cycle genes estimation, formant estimation,etc)
▍19. 49759
验证码小识别源码程序，结合易语言位图支持库，调用易语言模块实现验证码识别。(Little recognition source code program , combined with easy language bitmap support library , call easy language module verification code recognition .)
▍20. P863E
P.863标准（POLQA）,语音质量的客观评测标准，是对P.862标准（PESQ）的升级，适应范围更广，评价结果更接近主观的MOS。(P.863 Standards (POLQA), objective voice quality uation standard is the standard P.862 (PESQ) upgrade, adapt a wider range of uation results closer to the subjective MOS.)
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