Generating Segment Durations in a Text-To-Speech System: A Hybrid Rule-Based/Neural Network Approach

dc.creatorCorrigan, Gerald
dc.creatorMassey, Noel
dc.creatorKaraali, Orhan
dc.date1998-11-24
dc.date.accessioned2026-07-07T03:23:50Z
dc.date.available2026-07-07T03:23:50Z
dc.descriptionA combination of a neural network with rule firing information from a rule-based system is used to generate segment durations for a text-to-speech system. The system shows a slight improvement in performance over a neural network system without the rule firing information. Synthesized speech using segment durations was accepted by listeners as having about the same quality as speech generated using segment durations extracted from natural speech.
dc.description4 pages, PostScript
dc.identifierhttps://arxiv.org/abs/cs/9811030
dc.identifierhttp://arxiv.org/abs/cs/9811030
dc.identifierProceedings of Eurospeech (1997) 2675-2678. Rhodes, Greece
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33100
dc.subjectNeural and Evolutionary Computing
dc.subjectHuman-Computer Interaction
dc.subjectI.2.6; K.3.2
dc.titleGenerating Segment Durations in a Text-To-Speech System: A Hybrid Rule-Based/Neural Network Approach
dc.typetext

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