Detail publikačního výsledku

Speech Segmentation into Phonemes by Wavelet Transform

SYSEL, P.

Originální název

Speech Segmentation into Phonemes by Wavelet Transform

Anglický název

Speech Segmentation into Phonemes by Wavelet Transform

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Speech signal consists of phonemes in which the signal has a quasistationary character. The boundaries of phonemes are currently detected by observing such attributes as signal energy, short-time spectrum, etc. We can use a time-spectral analysis as a method of determining the attributes, e.g. multiscale wavelet analysis. Then we can determine the boundaries of phonemes by observing the changes in the individual scales and by comparing their positions.

Anglický abstrakt

Speech signal consists of phonemes in which the signal has a quasistationary character. The boundaries of phonemes are currently detected by observing such attributes as signal energy, short-time spectrum, etc. We can use a time-spectral analysis as a method of determining the attributes, e.g. multiscale wavelet analysis. Then we can determine the boundaries of phonemes by observing the changes in the individual scales and by comparing their positions.

Klíčová slova

Wavelet transformation, phonemes, speech processing, segmentation

Klíčová slova v angličtině

Wavelet transformation, phonemes, speech processing, segmentation

Autoři

SYSEL, P.

Vydáno

06.09.2000

Nakladatel

FEI VUT Brno

Místo

Brno

ISBN

80-7204-161-4

Kniha

Proceedings of the 23rd International Conference TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP-2000

Strany od

126

Strany do

129

Strany počet

4

BibTex

@inproceedings{BUT2298,
  author="Petr {Sysel}",
  title="Speech Segmentation into Phonemes by Wavelet Transform",
  booktitle="Proceedings of the 23rd International Conference TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP-2000",
  year="2000",
  pages="126--129",
  publisher="FEI VUT Brno",
  address="Brno",
  isbn="80-7204-161-4"
}