Publication Details

Usted: Improving ASR with a Unified Speech and Text Encoder-Decoder

YUSUF Bolaji, GANDHE Ankur and SOKOLOV Alex. Usted: Improving ASR with a Unified Speech and Text Encoder-Decoder. In: Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore: IEEE Signal Processing Society, 2022, pp. 8297-8301. ISBN 978-1-6654-0540-9. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9746554
Czech title
Zlepšení ASR pomocí unifikovaného řečového a textového enkodéru-dekodéru
Type
conference paper
Language
english
Authors
Yusuf Bolaji (DCGM FIT BUT)
Gandhe Ankur (AmazonCom)
Sokolov Alex (AmazonCom)
URL
Keywords

sequence-to-sequence, multitask, end-to-end ASR, masked language model, machine translation

Published
2022
Pages
8297-8301
Proceedings
Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Singapore, SG
ISBN
978-1-6654-0540-9
Publisher
IEEE Signal Processing Society
Place
Singapore, SG
DOI
BibTeX
@INPROCEEDINGS{FITPUB12784,
   author = "Bolaji Yusuf and Ankur Gandhe and Alex Sokolov",
   title = "Usted: Improving ASR with a Unified Speech and Text Encoder-Decoder",
   pages = "8297--8301",
   booktitle = "Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
   year = 2022,
   location = "Singapore, SG",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-6654-0540-9",
   doi = "10.1109/ICASSP43922.2022.9746554",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12784"
}
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