Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Patricia Rozé"'
Autor:
Ewan Dunbar, Emmanuel Dupoux, Mathieu Bernard, Patricia Rozé, Maureen de Seyssel, Morgane Riviere, Tu Anh Nguyen, Nicolas Hamilakis, Eugene Kharitonov
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3083839⟩
Interspeech 2021-Conference of the International Speech Communication Association
Interspeech 2021-Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. ⟨10.1109/TPAMI.2021.3083839⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3083839⟩
Interspeech 2021-Conference of the International Speech Communication Association
Interspeech 2021-Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. ⟨10.1109/TPAMI.2021.3083839⟩
We present the Zero Resource Speech Challenge 2021, which asks participants to learn a language model directly from audio, without any text or labels. The challenge is based on the Libri-light dataset, which provides up to 60k hours of audio from Eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d512840ce2ce7c0af9f71512bdb936
https://doi.org/10.21437/interspeech.2021-1755
https://doi.org/10.21437/interspeech.2021-1755
Autor:
Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux
Publikováno v:
NeuRIPS Workshop on Self-Supervised Learning for Speech and Audio Processing
NeuRIPS Workshop on Self-Supervised Learning for Speech and Audio Processing, Dec 2020, Virtuel, France
HAL
NeuRIPS Workshop on Self-Supervised Learning for Speech and Audio Processing, Dec 2020, Virtuel, France
HAL
We introduce a new unsupervised task, spoken language modeling: the learning of linguistic representations from raw audio signals without any labels, along with the Zero Resource Speech Benchmark 2021: a suite of 4 black-box, zero-shot metrics probin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8cf1c7e2631ab6a0ff4004e19a204f9
https://hal.archives-ouvertes.fr/hal-03070362/document
https://hal.archives-ouvertes.fr/hal-03070362/document
