Ebook: Spoken Language Understanding. Systems for Extracting Semantic Information from Speech

Издательство John Wiley, 2011, -471 pp.There are a number of books and textbooks on speech processing or natural language processing (even some covering speech and language processing), there are no books focusing on spoken language understanding (SLU) approaches and applications. In that respect, living between two worlds, SLU has not received the attention it deserves in spoken language processing in spite of the fact that it is represented in multiple sessions at major prestigious conferences such as the International Conference on Acoustic Speech and Signal Processing (ICASSP) of the Institution of Electrical and Electronic Engineers (IEEE) or the Interspeech Conference of the International Speech Communication Association (ISCA), and at dedicated workshops such as the Spoken Language Technology (SLT) workshop of the IEEE.
SLU applications are no longer limited to form filling or intent determination tasks in human computer interactions using speech, but now cover a broad range of complex tasks from speech summarization to voice search and speech retrieval. Due to a large variety of approaches and application types, it is rather difficult to follow the rapid extension and evolution of the field by consulting all the conference proceedings and journal papers. This book aims at filling a significant gap in that respect with contributions of experts working in a range of related areas.
The focus of the book will be distilling the state-of-the-art approaches (mostly data-driven) for well-investigated as well as emerging SLU tasks. The goal is to have a complete and coherent picture of each of the SLU areas considered so far, after providing the general picture for both human/machine and human/human communications processing. While this book can be considered as a graduate level source of contributions from recognized leaders in the field, we have tried to make sure that it flows naturally by actively editing the individual chapters and writing some of the chapters ourselves or jointly with other experts.We hope this will provide an up-to-date and complete information source for the speech and natural language research community and for those wishing to join it.Introduction
Part 1 Spoken Language Understanding for Human/Machine Interactions
History of Knowledge and Processes for Spoken Language Understanding
Semantic Frame-based Spoken Language Understanding
Intent Determination and Spoken Utterance Classification
Voice Search
Spoken Question Answering
SLU in Commercial and Research Spoken Dialogue Systems
Active Learning
Part 2 Spoken Language Understanding for Human/Human Conversations
Human/Human Conversation Understanding
Named Entity Recognition
Topic Segmentation
Topic Identification
Speech Summarization
Speech Analytics
Speech Retrieval