Speech Segmentation into Phonemes by Wavelet Transform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A43500038" target="_blank" >RIV/00216305:26220/00:43500038 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Speech Segmentation into Phonemes by Wavelet Transform
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 23rd International Conference TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP-2000
ISBN
80-7204-161-4
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
—
Publisher name
FEI VUT Brno
Place of publication
Brno
Event location
—
Event date
—
Type of event by nationality
—
UT code for WoS article
—