Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino; HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition), PMLR 166:1-24

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BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak; HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition), PMLR 166:25-47

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From HEAR to GEAR: Generative Evaluation of Audio Representations

Vincent Lostanlen, Lingyao Yan, Xianyi Yang; HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition), PMLR 166:48-64

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Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers

Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer; HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition), PMLR 166:65-89

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The Efficacy of Self-Supervised Speech Models for Audio Representations

Tung-Yu Wu, Tsu-Yuan Hsu, Chen-An Li, Tzu-Han Lin, Hung-yi Lee; HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition), PMLR 166:90-110

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