esp1

利用GMM训练模型，并用于说话人识别等相关领域，有不错的效果(GMM apply for text to speech)

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)

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)

完整的基音识别程序,经过修改,测试正确。包含基音检测，DTW，LPCC，MFCC提取等(integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction)

speech file to be analyzed Format : binary file 16 bit-samples 240 samples per frame (speech file to be analyzed Format : 16 bit binary file-samples of 240 samples per fram e)

Edinburgh Speech Tools for speech synthesis

模式识别k聚类算法源代码，c语言内容描述。(Pattern Recognition Chapter )

the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method

c＃文件处理类库 C # file handling class library(C # File processing Class Library C # file handling class library)

ITU P.563 语音质量评价，能只送入失真信信号，而不需要参考信号，便能评价失真信号的MOS分 (ITU P.563 voice quality assessment can only be sent to the distortion of the letter signals without the need for a reference signal will be able to evaluate distortion signal MOS score)