WASABI: Framework for Real-Time Speech Analysis Applications (Demo)

Authors:
Eric W. Brown;Anni Coden
Affiliations:
-;-
Venue:
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
Year:
2001

Citing 3
Cited 1

Question-answering by predictive annotation

SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Speech Transcript Analysis for Automatic Search

HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 4 - Volume 4
Toward speech as a knowledge resource

IBM Systems Journal

ACM SIGIR 2001 workshop "Information Retrieval Techniques for Speech Applications"

ACM SIGIR Forum

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Abstract

Speech is a tantalizing mode of human communication. On the one hand, humans understand speech with ease and use speech to express complex ideas, information, and knowledge. On the other hand, automatic speech recognition with computers is still very hard, and extracting knowledge from speech is even harder. We have developed a framework for analyzing speech that enables the incorporation of speech into a variety of information and knowledge management applications. We briefly describe the framework and demonstrate two applications that use the framework.