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HEAR@NeurIPS 2021, Virtual Event
- Joseph Turian, Björn W. Schuller, Dorien Herremans, Katrin Kirchhoff, L. Paola García-Perera, Philippe Esling:
HEAR: Holistic Evaluation of Audio Representations, Virtual Event, December 13-14, 2021. Proceedings of Machine Learning Research 166, PMLR 2021 - Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation. 1-24 - Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak:
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping. 25-47 - Vincent Lostanlen, Lingyao Yan, Xianyi Yang:
From HEAR to GEAR: Generative Evaluation of Audio Representations. 48-64 - Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. 65-89 - Tung-Yu Wu, Tsu-Yuan Hsu, Chen-An Li, Tzu-Han Lin, Hung-yi Lee:
The Efficacy of Self-Supervised Speech Models for Audio Representations. 90-110
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