Detail publikace

The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units

DUNBAR, E. KARADAYI, J. BERNARD, M. CAO, X. ALGAYRES, R. ONDEL YANG, L. BESACIER, L. SAKTI, S. DUPOUX, E.

Originální název

The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics from two previous benchmarks (2017 and 2019) and features two tasks which tap into two levels of speech representation. The first task is to discover low bit-rate subword representations that optimize the quality of speech synthesis; the second one is to discover word-like units from unsegmented raw speech. We present the results of the twenty submitted models and discuss the implications of the main findings for unsupervised speech learning.

Klíčová slova

zero resource speech technology, speech synthesis, acoustic unit discovery, spoken term discovery, unsupervised learning

Autoři

DUNBAR, E.; KARADAYI, J.; BERNARD, M.; CAO, X.; ALGAYRES, R.; ONDEL YANG, L.; BESACIER, L.; SAKTI, S.; DUPOUX, E.

Vydáno

25. 10. 2020

Nakladatel

International Speech Communication Association

Místo

Shanghai

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2020

Číslo

10

Stát

Francouzská republika

Strany od

4831

Strany do

4835

Strany počet

5

URL

https://www.isca-speech.org/archive/Interspeech_2020/pdfs/2743.pdf

BibTex

@inproceedings{BUT168147,
  author="DUNBAR, E. and KARADAYI, J. and BERNARD, M. and CAO, X. and ALGAYRES, R. and ONDEL YANG, L. and BESACIER, L. and SAKTI, S. and DUPOUX, E.",
  title="The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units",
  booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
  year="2020",
  journal="Proceedings of Interspeech",
  volume="2020",
  number="10",
  pages="4831--4835",
  publisher="International Speech Communication Association",
  address="Shanghai",
  doi="10.21437/Interspeech.2020-2743",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2020/pdfs/2743.pdf"
}