Telephone Speech Recognition Using Time-Domain IIR Filter Bank in MFCC Computation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230533" target="_blank" >RIV/68407700:21230/15:00230533 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Telephone Speech Recognition Using Time-Domain IIR Filter Bank in MFCC Computation
Original language description
This paper analyses the influence of two different methods of MFCC features computation according to resulting accuracy within the telephone speech recognition. These methods include the standard frequency based approach and computation via the time-domain IIR filter bank. Also, the influences of the amplitude and surface normalization of the filterbank were examined. These parametrizations were tested on multilingual telephone Speechdat database, so our effort was to unify the recognition process across 5 languages - Russian, Slovak, Czech, Polish and Hungarian. Best obtained results for individual languages were PER of 27.29 % for Czech, 30.64 % for Slovak, 25.52 % for Hungarian, 34.81 % for Polish and 39.58 % for Russian.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th International Scientific Student Conferenece POSTER 2015
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Czech Technical University in Prague
Place of publication
Praha
Event location
Praha
Event date
May 14, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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