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Description
  • This paper examines variable-length speech units in the context of a single unit instance text-to-speech system. Experiments described here were intended as a preparation for our future multiple unit instance system. Subphoneme, phoneme and word units were studied to find out the influence of variable-length units on the synthetic speech in a fully working TTS system. Statistical approach was applied to build variable-length speech unit databases automatically. Longer units were shown to be superior because the synthetic speech contained less spectral discontinuities in comparison with shorter units. Our attention was also paid to a level of clustering speech context in the process of automatic speech unit modeling. Model-level clustering was shown to outperform state-level clustering.
  • This paper examines variable-length speech units in the context of a single unit instance text-to-speech system. Experiments described here were intended as a preparation for our future multiple unit instance system. Subphoneme, phoneme and word units were studied to find out the influence of variable-length units on the synthetic speech in a fully working TTS system. Statistical approach was applied to build variable-length speech unit databases automatically. Longer units were shown to be superior because the synthetic speech contained less spectral discontinuities in comparison with shorter units. Our attention was also paid to a level of clustering speech context in the process of automatic speech unit modeling. Model-level clustering was shown to outperform state-level clustering. (en)
Title
  • Influence of variable-length speech units on quality of synthetic speech signal
  • Influence of variable-length speech units on quality of synthetic speech signal (en)
skos:prefLabel
  • Influence of variable-length speech units on quality of synthetic speech signal
  • Influence of variable-length speech units on quality of synthetic speech signal (en)
skos:notation
  • RIV/49777513:23520/02:00071530!RIV/2003/GA0/235203/N
http://linked.open.../vavai/riv/strany
  • 1
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/02/P134), Z(MSM 235200004)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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http://linked.open...dnocenehoVysledku
  • 649020
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/02:00071530
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • TTS;hidden Markov models;clustering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EABA2056F57A]
http://linked.open...v/mistoKonaniAkce
  • Tampere
http://linked.open...i/riv/mistoVydani
  • Tampere
http://linked.open...i/riv/nazevZdroje
  • Influence of variable-length speech units on quality of synthetic speech signal
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matoušek, Jindřich
  • Psutka, Josef
  • Tihelka, Daniel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • SuviSoft
https://schema.org/isbn
  • 82-993158-4-0
http://localhost/t...ganizacniJednotka
  • 23520
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