Paper: Quantitative Modeling Of Segmental Duration

ACL ID H93-1065
Title Quantitative Modeling Of Segmental Duration
Venue Human Language Technologies
Session Main Conference
Year 1993
Authors

In natural speech, durations of phonetic segments are strongly de- pendent on contextual factors. Quantitative descriptions of these contextual effects have appfications in text-to-speech synthesis and in automatic speech recognition. In this paper, we describe a speaker- dependent system for predicting segmental duration from text, with emphasis on the statistical methods used for its construction. We also report results of a subjective listening experiment evaluating an implementation of this system for text-to-speech synthesis purposes.