About: Phoneme Recognition using Temporal Patterns     Goto   Sponge   NotDistinct   Permalink

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  • Phoneme Recognition using Temporal Patterns (cs)
  • We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the compared techniques, the technique based on TempoRAl Patterns (TRAP) achieves the best results in the clean speech, it achieves about 10% relative improovements against baseline system. Its advantage is also observed in the presence of mismatch between training and testing conditions. Issues such as the optimal length of temporal ppatterns in the TRAP technique and the effectiveness of mean and variance normalization of the patterns and the multi-band input the TRAP estimations, are also explored.
  • We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the compared techniques, the technique based on TempoRAl Patterns (TRAP) achieves the best results in the clean speech, it achieves about 10% relative improovements against baseline system. Its advantage is also observed in the presence of mismatch between training and testing conditions. Issues such as the optimal length of temporal ppatterns in the TRAP technique and the effectiveness of mean and variance normalization of the patterns and the multi-band input the TRAP estimations, are also explored. (en)
Title
  • Phoneme Recognition using Temporal Patterns
  • Phoneme Recognition using Temporal Patterns (en)
  • Phoneme Recognition using Temporal Patterns (cs)
skos:prefLabel
  • Phoneme Recognition using Temporal Patterns
  • Phoneme Recognition using Temporal Patterns (en)
  • Phoneme Recognition using Temporal Patterns (cs)
skos:notation
  • RIV/00216305:26220/03:PU37471!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 198-205
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0124), P(GP102/02/D108)
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
  • 620794
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/03:PU37471
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Speech,recognition,phoneme,temporal pattern (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3B2275BFA7B8]
http://linked.open...v/mistoKonaniAkce
  • České Budějovice
http://linked.open...i/riv/nazevZdroje
  • In Proceedings of the conference TSD'2003. International Conference on Text Speech and Dialogue, TSD 2003
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
  • Schwarz, Petr
  • Černocký, Jan
  • Matějka, Pavel
  • Heřmanský, Hynek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 3-540-20024-X
http://localhost/t...ganizacniJednotka
  • 26220
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