The optimization of PLP feature extraction for LVCSR recognition of MP3 data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00219788" target="_blank" >RIV/68407700:21230/14:00219788 - 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
The optimization of PLP feature extraction for LVCSR recognition of MP3 data
Original language description
This paper analyses the contribution of optimized PLP feature extraction setup and application of feature normalization to improve the performance of automatic speech recognition system for data compressed by MP3 algorithm. The experimental study performed on loop-digit recognition and large vocabulary continues speech recognition task showed that proper setup can negate the effect of lower compression rates which can achieve results comparable with higher rates. The second finding is that the normalization techniques contribute significantly to overall performance, specially for shorter windows/shifts and lower compression rates. The acoustic models trained on 160kbits/s, 32kbits/s and 16kbits/s data performed at 34.17%, 41.88% and 36.4% WER respectively on LVCSR task. In comparison the noncompressed acoustic models performed at 28.56% WER.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
19th International Conference on Applied Electronics 2014
ISBN
978-80-261-0276-2
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
55-58
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Pilsen
Event date
Oct 9, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000343819700013

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