Detail publikace

Time-domain based Temporal Processing with Application of

MOTLÍČEK, P., ČERNOCKÝ, J.

Originální název

Time-domain based Temporal Processing with Application of

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In the paper, novel approach that efficiently extracts the temporal information of speech has been proposed. This algorithm is fully employed in time-domain, and the preprocessing blocks are well justified by psychoacoustic studies. The achieved results show the different properties of proposed algorithm compared to the traditional approach. The algorithm is advantageous in terms of possible modifications and computational inexpensiveness. Then, in our experiments, we have focused on different representation of time trajectories. Classical methods that are efficient in conventional feature extraction approaches showed not to be suitable to approximate temporal trajectories of speech. However, the application of some orthogonal transformations, such as discrete Fourier transform or discrete cosine transform, on top of previously derived temporal trajectories outperforms classification in original domain. In addition, these transformed features are very efficient to reduce the dimensionality of data. %in data reduction.

Klíčová slova

speech proceesing, speech recognition, TRAP, feature extraction

Autoři

MOTLÍČEK, P., ČERNOCKÝ, J.

Rok RIV

2003

Vydáno

17. 6. 2003

Nakladatel

Institute for Perceptual Artificial Intelligence

Místo

Geneva

ISSN

1018-4074

Periodikum

European Conference EUROSPEECH

Ročník

2003

Číslo

9

Stát

Švýcarská konfederace

Strany od

821

Strany do

824

Strany počet

4

URL

http://www.fit.vutbr.cz/~motlicek/publi/2003/motlicek_02.pdf, http://www.symporg.ch/eurospeech/

BibTex

@inproceedings{BUT14176,
  author="Petr {Motlíček} and Jan {Černocký}",
  title="Time-domain based Temporal Processing with Application of",
  booktitle="Proc. EUROSPEECH 2003",
  year="2003",
  journal="European Conference EUROSPEECH",
  volume="2003",
  number="9",
  pages="821--824",
  publisher="Institute for Perceptual Artificial Intelligence",
  address="Geneva",
  issn="1018-4074",
  url="http://www.fit.vutbr.cz/~motlicek/publi/2003/motlicek_02.pdf, http://www.symporg.ch/eurospeech/"
}