Learning HMM State Sequences from Phonemes for Speech Synthesis-Reference-Cited by-同舟云学术

Learning HMM State Sequences from Phonemes for Speech Synthesis

Published:2016 Issue: Volume:96 Page:1589-1596
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Biagetti Giorgio,Crippa Paolo,Falaschetti Laura,Orcioni Simone,Turchetti Claudio

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Speech synthesis based on hidden Markov models;Tokuda;Proceedings of the IEEE,2013

2. A hidden Markov-model-based trainable speech synthesizer;Donovan;Computer Speech & Language,1999

3. Speaker interpolation in HMM-based speech synthesis system;Yoshimura;In: EUROSPEECH.,1997

4. Speech parameter generation algorithms for HMM-based speech synthesis;Tokuda;In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, (ICASSP’00),2000

5. Speech parameter generation algorithm considering global variance for HMM-based speech synthesis;Toda;In: 9th European Conf. Speech Communication and Technology,2005

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