About: Phoneme Recognition from a Long Temporal Context     Goto   Sponge   NotDistinct   Permalink

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Description
  • Fonémové Rozpoznávání z Mluvené Řeči (cs)
  • We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings. The recognizer was evaluated on TIMIT database. <br>The baseline phoneme recognizer is based on TempoRAl Patterns (TRAP). <br>It is an HMM - Neural Network (HMM/NN) hybrid. <br>Critical bands energies are obtained in the conventional way. Speech signal is divided into 25 ms long frames with 10 ms shift. The Mel filter-bank is emulated by triangular weighting of FFT-derived short-term spectrumm to obtain short-term critical-band logarithmic spectral densities. <br>TRAP feature vector describes a segment of temporal evolution of critical band spectral densities within a single critical band. The central point is actual frame and there is equalnumber of frames in past and in future. <br>The length can differ. This vector forms an input to a classifier.<br>Outputs of the classifier are posterior probabilities of sub-word classes which we want&nbsp; to distinguish among. In our case, such class
  • We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings. The recognizer was evaluated on TIMIT database. <br>The baseline phoneme recognizer is based on TempoRAl Patterns (TRAP). <br>It is an HMM - Neural Network (HMM/NN) hybrid. <br>Critical bands energies are obtained in the conventional way. Speech signal is divided into 25 ms long frames with 10 ms shift. The Mel filter-bank is emulated by triangular weighting of FFT-derived short-term spectrumm to obtain short-term critical-band logarithmic spectral densities. <br>TRAP feature vector describes a segment of temporal evolution of critical band spectral densities within a single critical band. The central point is actual frame and there is equalnumber of frames in past and in future. <br>The length can differ. This vector forms an input to a classifier.<br>Outputs of the classifier are posterior probabilities of sub-word classes which we want&nbsp; to distinguish among. In our case, such class (en)
Title
  • Fonémové Rozpoznávání z Mluvené Řeči (cs)
  • Phoneme Recognition from a Long Temporal Context
  • Phoneme Recognition from a Long Temporal Context (en)
skos:prefLabel
  • Fonémové Rozpoznávání z Mluvené Řeči (cs)
  • Phoneme Recognition from a Long Temporal Context
  • Phoneme Recognition from a Long Temporal Context (en)
skos:notation
  • RIV/00216305:26230/04:PU49296!RIV06-GA0-26230___
http://linked.open.../vavai/riv/strany
  • 1-1
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0124), P(GP102/02/D108), 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
  • 579373
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/04:PU49296
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • phoneme recognition, feature extraction, speech recognition<br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F01480D363D3]
http://linked.open...v/mistoKonaniAkce
  • Martigny
http://linked.open...i/riv/mistoVydani
  • Martigny
http://linked.open...i/riv/nazevZdroje
  • poster at JOINT AMI/PASCAL/IM2/M4 Workshop on Multimodal Interaction and Related Machine Learning Algorithms
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
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute for Perceptual Artificial Intelligence
http://localhost/t...ganizacniJednotka
  • 26230
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