An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis.

采用matlab gui设计的一个可以进行简单的语音信号分析的界面，包括语音信号的处理，语音信号的分帧与加窗等，如果有程序方面的问题请咨询1741321723@qq.com，欢迎大家下载程序，共同改进。

学习语音增强的同学们，这文件包含中英文加代码。非常适合学习。

质量一般吧，不过第6章关于HMM的部分比较详细，作者之一便是Lawrence Rabiner；

巨经典的语音识别著作，我千辛万苦找到的

C++语音识别接口（Microsoft Speech SDK） 简单清晰的示范代码+教程 详见blog http://blog.csdn.net/michaelliang12/article/details/51317531

基于MATLAB的说话人语音识别系统，mfcc,train,test,数据，以及主程序

作者：Emmanuel Vincent 传统信号处理+深度学习语音分离/增强 Tuomas Virtanen Sharon Gannot

本内斯蒂2009年作品，主要讲解语音处理中的噪声抑制技术，值得大家下载下来仔细研究

《自动语音识别：一种深度学习方法》，此书为语音识别领域最新著作，具有极高的参考价值。