| Motlíček, P., Černocký, J.: Time-domain based Temporal Processing with Application of, In: Proc. EUROSPEECH 2003, Geneva, CH, IDIAP, 2003, p. 821-824, ISSN 1018-4074 | | Publication language: | english |
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| Original title: | Time-domain based Temporal Processing with Application of |
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| Title (cs): | Zpracování řečového signálu v časové oblsati s použitím ortogonálních transformací |
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| Pages: | 821-824 |
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| Proceedings: | Proc. EUROSPEECH 2003 |
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| Conference: | Eurospeech 2003-Switzerland - 8th European conference on speech communication and technology |
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| Place: | Geneva, CH |
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| Year: | 2003 |
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| Journal: | European Speech Communication, Vol. 2003, No. 9, CZ |
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| ISSN: | 1018-4074 |
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| Publisher: | Institute for Perceptual Artificial Intelligence |
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| URL: | http://www.symporg.ch/eurospeech/ [HTML] |
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| URL: | http://www.fit.vutbr.cz/~motlicek/publi/2003/motlicek_02.pdf [PDF] |
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| Keywords |
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| speech proceesing, speech recognition, TRAP, feature extraction |
| Annotation |
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| Time-domain based Temporal Processing with Application of Orthogonal Transformations |
| Abstract |
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| 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. |
| BibTeX: |
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@INPROCEEDINGS{
author = {Petr Motlíček and Jan Černocký},
title = {Time-domain based Temporal Processing with Application of},
pages = {821--824},
booktitle = {Proc. EUROSPEECH 2003},
journal = {European Speech Communication},
volume = {2003},
number = {9},
year = {2003},
location = {Geneva, CH},
publisher = {Institute for Perceptual Artificial Intelligence},
ISSN = {1018-4074},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7232}
} |
|