Technical Program

Paper Detail

Paper IDSPE-P12.10
Paper Title UTTERANCE-LEVEL SEQUENTIAL MODELING FOR DEEP GAUSSIAN PROCESS BASED SPEECH SYNTHESIS USING SIMPLE RECURRENT UNIT
Authors Tomoki Koriyama, Hiroshi Saruwatari, University of Tokyo, Japan
SessionSPE-P12: Machine Learning for Speech Synthesis II
LocationOn-Demand
Session Time:Thursday, 07 May, 11:30 - 13:30
Presentation Time:Thursday, 07 May, 11:30 - 13:30
Presentation Poster
Topic Speech Processing: [SPE-SYNT] Speech Synthesis and Generation
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