Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction

Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood, Frederic Mailhot, Shreekantha Nadig, Riqiang Wang, Nathan Zhang


Abstract
We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad’s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.
Anthology ID:
2021.sigmorphon-1.16
Original:
2021.sigmorphon-1.16v1
Version 2:
2021.sigmorphon-1.16v2
Volume:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SIGMORPHON
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
141–147
Language:
URL:
https://aclanthology.org/2021.sigmorphon-1.16
DOI:
10.18653/v1/2021.sigmorphon-1.16
Bibkey:
Cite (ACL):
Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood, Frederic Mailhot, Shreekantha Nadig, Riqiang Wang, and Nathan Zhang. 2021. Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 141–147, Online. Association for Computational Linguistics.
Cite (Informal):
Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction (Gautam et al., SIGMORPHON 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.sigmorphon-1.16.pdf
Optional supplementary material:
 2021.sigmorphon-1.16.OptionalSupplementaryMaterial.tex