Toward speech as a knowledge resource Export

@article{citeulike:4525821, 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 very hard, and extracting knowledge from speech is even harder. Nevertheless, the potential reward for solving this problem drives us to pursue it. Before we can exploit speech as a knowledge resource, however, we must understand the current state of the art in speech recognition and the relevant, successful applications of speech recognition in the related areas of multimedia indexing and search. In this paper we advocate the study of speech as a knowledge resource, provide a brief introduction to the state of the art in speech recognition, describe a number of systems that use speech recognition to enable multimedia analysis, indexing, and search, and present a number of exploratory applications of speech recognition that move toward the goal of exploiting speech as a knowledge resource.}, address = {Riverton, NJ, USA}, author = {Brown, E. W. and Srinivasan, S. and Coden, A. and Ponceleon, D. and Cooper, J. W. and Amir, A.}, citeulike-article-id = {4525821}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1016173}, issn = {0018-8670}, journal = {IBM Syst. J.}, keywords = {searchingspeech}, number = {4}, pages = {985--1001}, posted-at = {2009-05-16 11:17:24}, priority = {2}, publisher = {IBM Corp.}, title = {Toward speech as a knowledge resource}, url = {http://portal.acm.org/citation.cfm?id=1016173}, volume = {40}, year = {2001} }

TY - JOUR ID - citeulike:4525821 L3 - citeulike-article-id:4525821 N2 - 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 very hard, and extracting knowledge from speech is even harder. Nevertheless, the potential reward for solving this problem drives us to pursue it. Before we can exploit speech as a knowledge resource, however, we must understand the current state of the art in speech recognition and the relevant, successful applications of speech recognition in the related areas of multimedia indexing and search. In this paper we advocate the study of speech as a knowledge resource, provide a brief introduction to the state of the art in speech recognition, describe a number of systems that use speech recognition to enable multimedia analysis, indexing, and search, and present a number of exploratory applications of speech recognition that move toward the goal of exploiting speech as a knowledge resource. IS - 4 JF - IBM Syst. J. SN - 0018-8670 AD - Riverton, NJ, USA EP - 1001 TI - Toward speech as a knowledge resource PB - IBM Corp. VL - 40 SP - 985 KW - searchingspeech AU - Brown, EW AU - Srinivasan, S AU - Coden, A AU - Ponceleon, D AU - Cooper, JW AU - Amir, A PY - 2001/// UR - http://portal.acm.org/citation.cfm?id=1016173 ER -