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  • This articles describes a comparison between manual and semi-automatic approaches to building a multilingual phoneme set. The two approaches were compared in cases of 1) a multilingual system with abundant data for all the languages, 2) multilingual systems excluding target language 3) multilingual systems with small amount of data for target languages. The work shows that careful choice of merging methods can help improve recognition of languages with no or little training data and reasonably reduce multilingual phoneme set without losing a lot of accuracy.
  • This articles describes a comparison between manual and semi-automatic approaches to building a multilingual phoneme set. The two approaches were compared in cases of 1) a multilingual system with abundant data for all the languages, 2) multilingual systems excluding target language 3) multilingual systems with small amount of data for target languages. The work shows that careful choice of merging methods can help improve recognition of languages with no or little training data and reasonably reduce multilingual phoneme set without losing a lot of accuracy. (en)
Title
  • Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set
  • Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set (en)
skos:prefLabel
  • Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set
  • Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set (en)
skos:notation
  • RIV/00216305:26230/13:PU106350!RIV14-MPO-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(FR-TI1/034), P(GPP202/12/P604), P(TA01011328)
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  • 85957
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  • RIV/00216305:26230/13:PU106350
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  • multilingual speech recognition, phoneme set mapping, phoneme confusion matrix (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [80CB7D70E332]
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  • Vancouver
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  • Vancouver
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  • Proceedings of ICASSP 2013
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  • Karafiát, Martin
  • Veselý, Karel
  • Černocký, Jan
  • Janda, Miloš
  • Egorova, Ekaterina
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE Signal Processing Society
https://schema.org/isbn
  • 978-1-4799-0355-9
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  • 26230
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