Improving speech synthesis quality by reducing pitch peaks in the source recordings

We present a method for improving the perceived naturalness of corpus-based speech synthesizers. It consists in removing pronounced pitch peaks in the original recordings, which typically lead to noticeable discontinuities in the synthesized speech. We perceptually evaluated this method using two co...

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Autor principal: Gravano, Agustín
Publicado: 2013
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97819372_v_n_p502_Violante
http://hdl.handle.net/20.500.12110/paper_97819372_v_n_p502_Violante
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spelling paper:paper_97819372_v_n_p502_Violante2025-07-30T19:14:26Z Improving speech synthesis quality by reducing pitch peaks in the source recordings Gravano, Agustín Computational linguistics Continuous speech recognition Speech synthesis Corpus-based HMM-based Speech synthesizer Synthesized speech Audio recordings We present a method for improving the perceived naturalness of corpus-based speech synthesizers. It consists in removing pronounced pitch peaks in the original recordings, which typically lead to noticeable discontinuities in the synthesized speech. We perceptually evaluated this method using two concatenative and two HMM-based synthesis systems, and found that using it on the source recordings managed to improve the naturalness of the synthesizers and had no effect on their intelligibility. © 2013 Association for Computational Linguistics. Fil:Gravano, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97819372_v_n_p502_Violante http://hdl.handle.net/20.500.12110/paper_97819372_v_n_p502_Violante
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Computational linguistics
Continuous speech recognition
Speech synthesis
Corpus-based
HMM-based
Speech synthesizer
Synthesized speech
Audio recordings
spellingShingle Computational linguistics
Continuous speech recognition
Speech synthesis
Corpus-based
HMM-based
Speech synthesizer
Synthesized speech
Audio recordings
Gravano, Agustín
Improving speech synthesis quality by reducing pitch peaks in the source recordings
topic_facet Computational linguistics
Continuous speech recognition
Speech synthesis
Corpus-based
HMM-based
Speech synthesizer
Synthesized speech
Audio recordings
description We present a method for improving the perceived naturalness of corpus-based speech synthesizers. It consists in removing pronounced pitch peaks in the original recordings, which typically lead to noticeable discontinuities in the synthesized speech. We perceptually evaluated this method using two concatenative and two HMM-based synthesis systems, and found that using it on the source recordings managed to improve the naturalness of the synthesizers and had no effect on their intelligibility. © 2013 Association for Computational Linguistics.
author Gravano, Agustín
author_facet Gravano, Agustín
author_sort Gravano, Agustín
title Improving speech synthesis quality by reducing pitch peaks in the source recordings
title_short Improving speech synthesis quality by reducing pitch peaks in the source recordings
title_full Improving speech synthesis quality by reducing pitch peaks in the source recordings
title_fullStr Improving speech synthesis quality by reducing pitch peaks in the source recordings
title_full_unstemmed Improving speech synthesis quality by reducing pitch peaks in the source recordings
title_sort improving speech synthesis quality by reducing pitch peaks in the source recordings
publishDate 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97819372_v_n_p502_Violante
http://hdl.handle.net/20.500.12110/paper_97819372_v_n_p502_Violante
work_keys_str_mv AT gravanoagustin improvingspeechsynthesisqualitybyreducingpitchpeaksinthesourcerecordings
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