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  • Hlavním cílem tohoto příspěvku je popis analýzy řeči s výslovnostními vadami. Poruchy řeči jsou způsobené vzácnou nemocí, která vyvolává epileptické výboje v části mozku zodpovědné za produkci řeči. Řečové defekty, reprezentované nejčastěji chybějící nebo zaměněnou hláskou, jsou zkoumány v oblasti spektrální i časové. Algoritmus popsaný v tomto příspěvku je založen na bázi skrytých Markovových modelů (HMM) a je často využíván v aplikacích pro rozpoznání řeči. Algoritmus analyzuje řeč jak v časové (zarovnání hlásek), tak ve spektrální oblasti (logaritmus pravděpodobnosti). Navržená metoda funguje správně v časové oblasti, výsledky ve spektrální oblasti nemohou být uvažovány neboť bylo k dispozici velmi málo dat pro testování. (cs)
  • The main aim of this paper is the analysis of speech deteriorated by a very rare disease, which induce epileptic seizures in a part of brain responsible for speech production. Speech defects, represented mostly by the combination of missing and mismatched phonemes, are sought and examined in the spectral and time domain. An algorithm, proposed in this paper, is based on Hidden Markov Models (HMMs) and it is most suitable for the speech recognition tasks. The algorithm is able to analyze in both time and spectral domains simultaneously; in the spectral domain as a log-likelihood score and in the time domain as a forced time alignment of the HMMs. The suggested algorithm works properly in the time domain. The results for the spectral domain are not credible, because the algorithm have to be tested on more data (not available at the time of paper preparation).
  • The main aim of this paper is the analysis of speech deteriorated by a very rare disease, which induce epileptic seizures in a part of brain responsible for speech production. Speech defects, represented mostly by the combination of missing and mismatched phonemes, are sought and examined in the spectral and time domain. An algorithm, proposed in this paper, is based on Hidden Markov Models (HMMs) and it is most suitable for the speech recognition tasks. The algorithm is able to analyze in both time and spectral domains simultaneously; in the spectral domain as a log-likelihood score and in the time domain as a forced time alignment of the HMMs. The suggested algorithm works properly in the time domain. The results for the spectral domain are not credible, because the algorithm have to be tested on more data (not available at the time of paper preparation). (en)
Title
  • Speech Defect Analysis Using Hidden Markov Models
  • Analýza poruch řeči s využitím HMM (cs)
  • Speech Defect Analysis Using Hidden Markov Models (en)
skos:prefLabel
  • Speech Defect Analysis Using Hidden Markov Models
  • Analýza poruch řeči s využitím HMM (cs)
  • Speech Defect Analysis Using Hidden Markov Models (en)
skos:notation
  • RIV/68407700:21230/07:03130870!RIV08-GA0-21230___
http://linked.open.../vavai/riv/strany
  • 1;6
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/03/H085), Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 451580
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03130870
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • HMM; mispronunciation detection; speech processing; speech recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [C3DCF572640D]
http://linked.open...i/riv/nazevZdroje
  • Radioengineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 16
http://linked.open...iv/tvurceVysledku
  • Uhlíř, Jan
  • Chaloupka, Zdeněk
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-2512
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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