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KARAFIÁT, M. GRÉZL, F. BURGET, L. SZŐKE, I. ČERNOCKÝ, J.
Original Title
Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge
Type
conference paper
Language
English
Original Abstract
We have presented our work towards the ASR of wide-band noisy reverberant speech in ASpIRE challenge. To solve this task, we have started with augmenting Fisher data with artificially noised and reverberated versions.
Keywords
speech recognition, reverberation, dereverberation, neural networks, DNN
Authors
KARAFIÁT, M.; GRÉZL, F.; BURGET, L.; SZŐKE, I.; ČERNOCKÝ, J.
RIV year
2015
Released
6. 9. 2015
Publisher
International Speech Communication Association
Location
Dresden
ISBN
978-1-5108-1790-6
Book
Proceedings of Interspeech 2015
1990-9772
Periodical
Proceedings of Interspeech
Year of study
Number
09
State
French Republic
Pages from
2454
Pages to
2458
Pages count
5
URL
https://www.fit.vut.cz/research/publication/10972/
BibTex
@inproceedings{BUT119908, author="Martin {Karafiát} and František {Grézl} and Lukáš {Burget} and Igor {Szőke} and Jan {Černocký}", title="Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge", booktitle="Proceedings of Interspeech 2015", year="2015", journal="Proceedings of Interspeech", volume="2015", number="09", pages="2454--2458", publisher="International Speech Communication Association", address="Dresden", isbn="978-1-5108-1790-6", issn="1990-9772", url="https://www.fit.vut.cz/research/publication/10972/" }