实现了使用DNN来做VAD的功能，模型非常小，使用了TDNN的网络结构，注意：需要在LINUX上执行，感觉效果还不错，欢迎大家使用并提出宝贵意见。

HTK book中文版，非常详尽的HTK文档，也是较系统全面介绍语音识别的不错译本

主要学习内容： 1.搭建编译环境 2.如何编译SDK 3.SWD烧录平台 4.CATStudio调试平台 5.ASR学习指南学习

轿车ASR的ADAMS_CAR和MATLAB联合仿真，很详细

Kaldi单音素GMM学习笔记。从原理、脚本、程序和类四个方面介绍单音素GMM和Kaldi代码。Kaldi单音素GMM学习笔记。从原理、脚本、程序和类四个方面介绍单音素GMM和Kaldi代码。Kaldi单音素GMM学习笔记。从原理、脚本、程序和类四个方面介绍单音素GMM和Kaldi代码。

cisco asr 9000 系列产品手册

拼音汉字对照表，格式已整理好，可直接应用于自然语言处理。(经过实践检验可以使用)

Automatic Speech Recognition| ASR Lecture. About 18 lectures, plus a couple of extra lectures on basic introduction to neural networks. Lecturers: Steve Renals and Hiroshi Shimodaira.

Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabulary continuous speech recognition (LVCSR) systems are based on HMMs. Whereas the basic principles underlying HMM-based LVCSR are rather straightforward, the approximations and simplifying assumptions involved in a direct implementation of these principles would result in a system which has poor accuracy and unacceptable sensitivity to changes in operating environment. Thus, the practical application of HMMs in modern systems involves considerable sophistication. The aim of this review is first to present the core architecture of a HMM-based LVCSR system and then describe the various refinements which are needed to achieve state-of-the-art performance. These refinements include feature projection, improved covariance modelling, discriminative parameter estimation, adaptation and normalisation, noise compensation and multi-pass system combination. The review concludes with a case study of LVCSR for Broadcast News and Conversation transcription in order to illustrate the techniques described.