Speech Self-Supervised Representation Benchmarking: Are We Doing it
Right?

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

1 June 2023

Titouan Parcollet

Mirco Ravanelli

Papers citing "Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?"

6 / 6 papers shown

Title
How Should We Extract Discrete Audio Tokens from Self-Supervised Models? Pooneh Mousavi J. Duret Salah Zaiem Luca Della Libera Artem Ploujnikov Cem Subakan Mirco Ravanelli 42 9 0 15 Jun 2024
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets Jiatong Shi Shih-Heng Wang William Chen Martijn Bartelds Vanya Bannihatti Kumar ... Xuankai Chang Dan Jurafsky Karen Livescu Hung-yi Lee Shinji Watanabe AuLLM 77 5 0 12 Jun 2024
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 50 72 0 05 Oct 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois Tatsunori Hashimoto Stefano Ermon Percy Liang SSL 83 40 0 13 Sep 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 128 349 0 21 May 2022
Evaluating the reliability of acoustic speech embeddings Robin Algayres Mohamed Salah Zaiem Benoît Sagot Emmanuel Dupoux 38 29 0 27 Jul 2020