Publication detail

Time-domain based Temporal Processing with Application of

MOTLÍČEK, P., ČERNOCKÝ, J.

Original Title

Time-domain based Temporal Processing with Application of

Type

conference paper

Language

English

Original Abstract

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.

Keywords

speech proceesing, speech recognition, TRAP, feature extraction

Authors

MOTLÍČEK, P., ČERNOCKÝ, J.

RIV year

2003

Released

17. 6. 2003

Publisher

Institute for Perceptual Artificial Intelligence

Location

Geneva

ISBN

1018-4074

Periodical

European Conference EUROSPEECH

Year of study

2003

Number

9

State

Swiss Confederation

Pages from

821

Pages to

824

Pages count

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/"
}