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Detail publikačního výsledku
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
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
We present the Zero Resource Speech Challenge 2020, whichaims at learning speech representations from raw audio signalswithout any labels. It combines the data sets and metrics fromtwo previous benchmarks (2017 and 2019) and features twotasks which tap into two levels of speech representation. Thefirst task is to discover low bit-rate subword representations thatoptimize the quality of speech synthesis; the second one is todiscover word-like units from unsegmented raw speech. Wepresent the results of the twenty submitted models and discussthe implications of the main findings for unsupervised speechlearning.
Anglický abstrakt
Klíčová slova
zero resource speech technology, speech synthesis,acoustic unit discovery, spoken term discovery, unsupervisedlearning
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
25.10.2020
Nakladatel
International Speech Communication Association
Místo
Shanghai
Kniha
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Svazek
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" }
Dokumenty
ondel_interspeech2020_2743