About: QUALCOMM-ICSI-OGI Features for ASR     Goto   Sponge   NotDistinct   Permalink

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Description
  • Our feature extraction module for the Aurora task is based on a combination of a conventional noise supression technique (Wiener filtering) with our temporal processing technigues (linear discriminant RASTA filtering and nonlinear TempoRAl Pattern (TRAP) classifier). We observe better than 58% relative error improvement on the prescribed Aurora Digit Task, a performance level that is somewhat better than the new ETSI Advanced Feature standard. Furthermore, to test generalization of our approach to an independent test set not available during development, we evaluate performance on American English SpeechDatCar digits and show 10.54% relative improvement over the new ETSI standard.
  • Our feature extraction module for the Aurora task is based on a combination of a conventional noise supression technique (Wiener filtering) with our temporal processing technigues (linear discriminant RASTA filtering and nonlinear TempoRAl Pattern (TRAP) classifier). We observe better than 58% relative error improvement on the prescribed Aurora Digit Task, a performance level that is somewhat better than the new ETSI Advanced Feature standard. Furthermore, to test generalization of our approach to an independent test set not available during development, we evaluate performance on American English SpeechDatCar digits and show 10.54% relative improvement over the new ETSI standard. (en)
Title
  • QUALCOMM-ICSI-OGI Features for ASR
  • QUALCOMM-ICSI-OGI Features for ASR (en)
skos:prefLabel
  • QUALCOMM-ICSI-OGI Features for ASR
  • QUALCOMM-ICSI-OGI Features for ASR (en)
skos:notation
  • RIV/00216305:26230/02:PU36294!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • N, P(GA102/02/0124), V, Z(MSM 262200012)
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
  • 661269
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/02:PU36294
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature extraction, distributed speech recognition, Aurora task, RASTA, TRAP (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [044C8DC95C43]
http://linked.open...v/mistoKonaniAkce
  • Denver
http://linked.open...i/riv/mistoVydani
  • Denver
http://linked.open...i/riv/nazevZdroje
  • Proc. 7th International Conference on Spoken Language Processing
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
  • Burget, Lukáš
  • Grézl, František
  • Heřmanský, Hynek
  • Garudadri, Harinath
  • Jain, Pratibha
  • Kajarekar, Sachin
  • Morgan, Nelson
  • Dupont, Stephane
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
  • International Speech Communication Association
https://schema.org/isbn
  • 1-876346-42-6
http://localhost/t...ganizacniJednotka
  • 26230
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