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

10.1109/ICASSP43922.2022.9746554

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"
}