Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Veeral, Agarwal"'
Publikováno v:
INTERSPEECH 2023-24th INTERSPEECH Conference
INTERSPEECH 2023-24th INTERSPEECH Conference, Aug 2023, Dublin, Ireland
INTERSPEECH 2023-24th INTERSPEECH Conference, Aug 2023, Dublin, Ireland
International audience; Self-supervised speech based models have been found to be successful in predicting brain recordings of subjects experiencing naturalistic story listening. Inspired by the recent progress on deep learning models for various spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::2595e503aec67f5da0007464b893f023
https://hal.science/hal-04131475/file/Speech_Taskonomy_cameraready.pdf
https://hal.science/hal-04131475/file/Speech_Taskonomy_cameraready.pdf
Autor:
Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Surampudi
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
NAACL 2022-Conference of the North American Chapter of the Association for Computational Linguistics-Human Language Technologies (NAACL-HLT2022)
NAACL 2022-Conference of the North American Chapter of the Association for Computational Linguistics-Human Language Technologies (NAACL-HLT2022), Jul 2022, Seattle, United States. pp.3220-3237, ⟨10.18653/v1/2022.naacl-main.235⟩
NAACL 2022-Conference of the North American Chapter of the Association for Computational Linguistics-Human Language Technologies (NAACL-HLT2022)
NAACL 2022-Conference of the North American Chapter of the Association for Computational Linguistics-Human Language Technologies (NAACL-HLT2022), Jul 2022, Seattle, United States. pp.3220-3237, ⟨10.18653/v1/2022.naacl-main.235⟩
Several popular Transformer based language models have been found to be successful for text-driven brain encoding. However, existing literature leverages only pretrained text Transformer models and has not explored the efficacy of task-specific learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c1676d01a187941acc66beb8f46a89a
http://arxiv.org/abs/2205.01404
http://arxiv.org/abs/2205.01404