语音识别基本原理(英文版)
Modern speech understanding systems merge interdisciplinary technologies from Signal Processing, Pattern Recognition, Natural Language, and Linguistics into a unified statistical framework. These systems, which have applications in a wide range of signal processing problems, represent a revolution in Digital Signal Processing (DSP). Once a field dominated by vector-oriented processors and linear algebra-based mathematics, the current generation of DSP-based systems rely on sophisticated statistical models implemented using a complex software paradigm. Such systems are now capable of understanding continuous speech input for vocabularies of several thousand words in operational environments. In this course, we will explore the core components of modern statistically-based speech recognition systems. We will view speech recognition problem in terms of three tasks: signal modeling, network searching, and language understanding. We will conclude our discussion with an overview of state-of-the-art systems, and a review of available resources to support further research and technology development.
- 青天揽月2014-05-10要搞语音识别,难得的一份好资料!
- syy24682012-07-05不是书,是密西西州立大学一位教授的讲课内容,还不错,推荐下载看看
- j_and2013-03-30很好的资源啊,英文需要时间啃了
- huahaajj2015-06-11语音识别讲义,很不错。
- hongxingxiaonan2013-03-26哎呀,这还是毕设时用的呢,很好,呵呵
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