▍1. 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)
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▍2. paper4
4基于稀疏编码的语音增强方法.pdf (4 sparse coding speech enhancement based on 4 sparse coding speech enhancement method based on.Pdf.Pdf method)
▍3. Abdul_Syafiq_Abdull_Sukor
the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method
▍4. speech-signal-processing
语音信号处理，赵力，对语音信号处理有一个基本介绍(the book of speech signal processing)
▍5. chapter2-low-bit-rate-speech-coding
Chapter 2 Low Bit-Rate Speech Coding In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.(In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.)
▍6. UsingHTK
HTK 应用，训练数据，HCOPY，辨识语音，HMM,(HTK applications, training data, HCOPY, voice recognition, HMM,)
▍7. feature_extraction_in_speech_recognition1980
最权威和最全面的语音识别的特征提取的 IEEE的期刊论文1980(The most authoritative and comprehensive speech recognition feature extraction of the IEEE Journal Papers 1980)
▍9. developmentsinspeechsynthesis
国外著名的语音合成开发教程。英文的，原汁原味。(famous speech synthesis Development Guide. English, what is genuine.)
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