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Description
  • The speech recognisers use a parametric form of the signal to get the most important features in speech for the recognition task. Mel-frequency cepstral coefficients (MFCC) and Perceptual linear prediction coefficients (PLP) belong to the most commonly used methods. There is no rule to decide which one is better to use and it depends mainly on the particular conditions. The tests on taking advantage of different parts of each parametrization process to get the best results in given conditions are presented in this paper. Robust Hidden Markov model-based (HMM) Czech digit recogniser in slightly noisy environment is used for this purpose. The experiments show, that using Bark-frequency scaling, equal loudness pre-emphasis and intensity-loudness power law in the original MFCC method can bring improvement in white noise robustness for particular conditions. The results also uncovered that the LP-based methods tend to generate insertion errors in given environment.
  • The speech recognisers use a parametric form of the signal to get the most important features in speech for the recognition task. Mel-frequency cepstral coefficients (MFCC) and Perceptual linear prediction coefficients (PLP) belong to the most commonly used methods. There is no rule to decide which one is better to use and it depends mainly on the particular conditions. The tests on taking advantage of different parts of each parametrization process to get the best results in given conditions are presented in this paper. Robust Hidden Markov model-based (HMM) Czech digit recogniser in slightly noisy environment is used for this purpose. The experiments show, that using Bark-frequency scaling, equal loudness pre-emphasis and intensity-loudness power law in the original MFCC method can bring improvement in white noise robustness for particular conditions. The results also uncovered that the LP-based methods tend to generate insertion errors in given environment. (en)
  • Článek prezentuje experimenty v oblasti modifikace standardních parametrizačních technik využívaných při robustním rozpoznávání řeči. Navržené modifikace kombinují jednotlivé bloky standardních parametrizací pro zvýšení robustnosti systému pracujícího v zašuměném prostředí. Pro porovnání vlivu navržených technik je využit rozpoznávač číslovek na bázi HMM kontextově nezávislých fonémů. Experimenty ukazují, že zpracování signálu na bázi lineární predikce vede v daných podmínkách k vyššímu výskytu chyb typu inzerce. Jeho nahrazení přímým výpočtem spektra metodou DCT lze také docílit zvýšené odolnosti systému vůči bílému šumu. (cs)
Title
  • Modified Feature Extraction Methods in Robust Speech Recognition
  • Modified Feature Extraction Methods in Robust Speech Recognition (en)
  • Modifikované metody extrakce příznaků pro robustní rozpoznávání řeči (cs)
skos:prefLabel
  • Modified Feature Extraction Methods in Robust Speech Recognition
  • Modified Feature Extraction Methods in Robust Speech Recognition (en)
  • Modifikované metody extrakce příznaků pro robustní rozpoznávání řeči (cs)
skos:notation
  • RIV/68407700:21230/07:03129812!RIV08-GA0-21230___
http://linked.open.../vavai/riv/strany
  • 521;524
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET201210402), P(GA102/05/0278), Z(MSM6840770014)
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
  • 434742
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03129812
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • HMM; MFCC; PLP; speech recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DE134C4F694F]
http://linked.open...v/mistoKonaniAkce
  • VUT v Brně, FEKT, ÚREL
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 17th International Conference Radioelektronika 2007
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...iv/tvurceVysledku
  • Pollák, Petr
  • Rajnoha, Josef
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
  • Institute of Electrical and Electronic Engineers
https://schema.org/isbn
  • 1-4244-0821-0
http://localhost/t...ganizacniJednotka
  • 21230
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