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  • 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. % when %using both the high-quality TIMIT and the telephone-quality NTIMIT databases. Issues such as the optimal length of temporal patterns 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. % when %using both the high-quality TIMIT and the telephone-quality NTIMIT databases. Issues such as the optimal length of temporal patterns 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)
  • Recognition Of Phoneme Strings Using TRAP Technique (cs)
Title
  • Recognition Of Phoneme Strings Using TRAP Technique
  • Recognition Of Phoneme Strings Using TRAP Technique (en)
  • Recognition Of Phoneme Strings Using TRAP Technique (cs)
skos:prefLabel
  • Recognition Of Phoneme Strings Using TRAP Technique
  • Recognition Of Phoneme Strings Using TRAP Technique (en)
  • Recognition Of Phoneme Strings Using TRAP Technique (cs)
skos:notation
  • RIV/00216305:26220/03:PU37472!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 825-828
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0124)
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
  • 624821
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/03:PU37472
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • TRAP, temporal pattern, phoneme recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3AD0DD4C8C80]
http://linked.open...v/mistoKonaniAkce
  • Geneva, Switzerland
http://linked.open...i/riv/mistoVydani
  • Geneva, Schwitzerland
http://linked.open...i/riv/nazevZdroje
  • 8th European conference on speech communication and technology EUROSPEECH'03
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
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ISCA
http://localhost/t...ganizacniJednotka
  • 26220
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