Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field.Pattern Recognition in Speech and Language Processing offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria and optimization procedures.

在过去20年中，设计语音和语言处理算法的方法已经从基于语言学和语音科学的方法转移到数据驱动的模式识别技术。这些技术一直是密集、快速研究的焦点，并为该领域的重大进展做出了贡献。语音和语言处理中的模式识别为这些最新发展提供了系统、最新的展示。它从模式识别的基本原理和最新理论进展开始，重点是分类器设计标准和优化程序。