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Description
  • This paper is focused on a measurement that could be useful for an automatic and objective evaluation of dysfluent speech. The parameter combines the time and frequency domain analysis. The experiment is based on the analysis of read audio recordings of stutterers. The highest correlation coefficient with control data is -0.821. This parameter could become a part of an automatic and objective assessment system.
  • This paper is focused on a measurement that could be useful for an automatic and objective evaluation of dysfluent speech. The parameter combines the time and frequency domain analysis. The experiment is based on the analysis of read audio recordings of stutterers. The highest correlation coefficient with control data is -0.821. This parameter could become a part of an automatic and objective assessment system. (en)
Title
  • The Number of Spectral Changes in Speech Segments for Evaluation of Dysfluent Speech
  • The Number of Spectral Changes in Speech Segments for Evaluation of Dysfluent Speech (en)
skos:prefLabel
  • The Number of Spectral Changes in Speech Segments for Evaluation of Dysfluent Speech
  • The Number of Spectral Changes in Speech Segments for Evaluation of Dysfluent Speech (en)
skos:notation
  • RIV/68407700:21230/11:00184022!RIV12-MSM-21230___
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  • P(GA102/08/0707), P(GD102/08/H008), S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 216741
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  • RIV/68407700:21230/11:00184022
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  • stuttering; speech analysis; Bayesian detector (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [790146BE0568]
http://linked.open...v/mistoKonaniAkce
  • Praha
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  • Technická 5, 16628 Praha
http://linked.open...i/riv/nazevZdroje
  • 19th Annual Conference Proceedings Technical Computing Prague 2011
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  • Bergl, P.
  • Lustyk, Tomáš
  • Vokřál, J.
  • Čmejla, Roman
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http://linked.open.../riv/zahajeniAkce
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number of pages
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  • Vydavatelství VŠCHT Praha
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  • 978-80-7080-794-1
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  • 21230
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