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.
Abstracted, with permission, from “Towards Speech as a Knowledge Resource,” IBM Systems Journal 40, No. 4, (2001)
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References
E. W. Brown, S. Srinivasan, A. Coden, D. Ponceleon, J. W. Cooper, and A. Amir. Toward speech as a knowledge resource. IBM Systems Journal, 40(4), 2001.
A. Coden and E. Brown. Speech transcript analysis for automatic search. In Proc. of HICSS-34, Hawaii, 2001.
J. Prager, E. Brown, A. Coden, and D. Radev. Question-answering by predictive annotation. In Proc. of the 23rd Inter. ACM SIGIR Conf. On Res. And Develop. in Information Retrieval, pages 184–191, Athens, Greece, 2000.
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© 2002 Springer-Verlag Berlin Heidelberg
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Brown, E.W., Coden, A.R. (2002). WASABI: Framework for Real-Time Speech Analysis Applications (Demo). In: Coden, A.R., Brown, E.W., Srinivasan, S. (eds) Information Retrieval Techniques for Speech Applications. IRTSA 2001. Lecture Notes in Computer Science, vol 2273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45637-6_10
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DOI: https://doi.org/10.1007/3-540-45637-6_10
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