Detail výsledku

Promising Accurate Prefix Boosting For Sequence-to-sequence ASR

BASKAR, M.; BURGET, L.; WATANABE, S.; KARAFIÁT, M.; HORI, T.; ČERNOCKÝ, J. Promising Accurate Prefix Boosting For Sequence-to-sequence ASR. In Proceedings of ICASSP. Brighton: IEEE Signal Processing Society, 2019. p. 5646-5650. ISBN: 978-1-5386-4658-8.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Baskar Murali Karthick, Ing., Ph.D., UPGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., UPGM (FIT)
Watanabe Shinji, FIT (FIT)
Karafiát Martin, Ing., Ph.D., UPGM (FIT)
HORI, T.
Černocký Jan, prof. Dr. Ing., UPGM (FIT)
Abstrakt

In this paper, we present promising accurate prefix boosting (PAPB),a discriminative training technique for attention based sequence-tosequence(seq2seq) ASR. PAPB is devised to unify the training andtesting scheme effectively. The training procedure involves maximizingthe score of each partial correct sequence obtained duringbeam search compared to other hypotheses. The training objectivealso includes minimization of token (character) error rate. PAPBshows its efficacy by achieving 10.8% and 3.8% WER with and withoutexternal RNNLM respectively on Wall Street Journal dataset.

Klíčová slova

Beam search training, sequence learning, discriminativetraining, Attention models, softmax-margin

URL
Rok
2019
Strany
5646–5650
Sborník
Proceedings of ICASSP
Konference
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN
978-1-5386-4658-8
Vydavatel
IEEE Signal Processing Society
Místo
Brighton
DOI
UT WoS
000482554005176
EID Scopus
BibTeX
@inproceedings{BUT160001,
  author="BASKAR, M. and BURGET, L. and WATANABE, S. and KARAFIÁT, M. and HORI, T. and ČERNOCKÝ, J.",
  title="Promising Accurate Prefix Boosting For Sequence-to-sequence ASR",
  booktitle="Proceedings of ICASSP",
  year="2019",
  pages="5646--5650",
  publisher="IEEE Signal Processing Society",
  address="Brighton",
  doi="10.1109/ICASSP.2019.8682782",
  isbn="978-1-5386-4658-8",
  url="https://ieeexplore.ieee.org/document/8682782"
}
Soubory
Projekty
IARPA Strojový překlad pro anglické vyhledávání informací v libovolném jazyce (MATERIAL) - Automatické vyhledávání informací v cizím jazyce (FLAIR), IARPA, zahájení: 2017-09-21, ukončení: 2021-10-22, ukončen
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
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