BYOL for Audio: Self-Supervised Learning for General-Purpose Audio
Representation

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BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

11 March 2021

Daisuke Niizumi

Yasunori Ohishi

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Papers citing "BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation"

8 / 108 papers shown

Title
SSAST: Self-Supervised Audio Spectrogram Transformer Yuan Gong Cheng-I Jeff Lai Yu-An Chung James R. Glass ViT 164 300 0 19 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio Representations Sreyan Ghosh Sandesh V Katta Ashish Seth S. Umesh SSL 96 12 0 17 Oct 2021
SERAB: A multi-lingual benchmark for speech emotion recognition Neil Scheidwasser M. Kegler P. Beckmann Milos Cernak 95 46 0 07 Oct 2021
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization Donmoon Lee Kyogu Lee 77 3 0 29 Sep 2021
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition Felix Wu Kwangyoun Kim Jing Pan Kyu Jeong Han Kilian Q. Weinberger Yoav Artzi 105 75 0 14 Sep 2021
Computer Vision Self-supervised Learning Methods on Time Series Daesoo Lee Technology AI4TS 90 4 0 02 Sep 2021
One Billion Audio Sounds from GPU-enabled Modular Synthesis Joseph P. Turian Jordie Shier George Tzanetakis K. McNally Max Henry 142 26 0 27 Apr 2021
Adversarially learning disentangled speech representations for robust multi-factor voice conversion Jie Wang Jingbei Li Xintao Zhao Zhiyong Wu Shiyin Kang Helen Meng DRL 144 29 0 30 Jan 2021