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14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02)
Word Endpoint Correction Techniques for a Text-to-Multimedia Composition System
Washington, DC
November 04-November 06
ISBN: 0-7695-1849-4
Keith Turkowski, University of British Columbia
Babak Hamidzadeh, University of British Columbia
In concatenative Text-to-Multimedia composition systems, accurate endpoint detection of the uttered audio words, used as input into such systems, is needed to ensure optimal audio concatenation. In this paper, we outline a method of endpoint detection that takes advantage of the fact that the text of the audio word is known before endpoint detection actually takes place. From the text, the associated phonemes for an uttered audio word can be determined and used to fine tune the endpoint detection for a specific given phoneme.
Citation:
Keith Turkowski, Babak Hamidzadeh, "Word Endpoint Correction Techniques for a Text-to-Multimedia Composition System," ictai, pp.325, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002
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