EnCodecMAE: Leveraging neural codecs for universal audio representation learning

14 September 2023

Papers citing "EnCodecMAE: Leveraging neural codecs for universal audio representation learning"

6 / 6 papers shown

Title
Music2Latent: Consistency Autoencoders for Latent Audio Compression Marco Pasini Stefan Lattner George Fazekas 24 6 0 12 Aug 2024
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio Pablo Alonso-Jiménez L. Pepino Roser Batlle-Roca Pablo Zinemanas Dmitry Bogdanov Xavier Serra Martín Rocamora 33 6 0 14 Feb 2024
ResiDual: Transformer with Dual Residual Connections Shufang Xie Huishuai Zhang Junliang Guo Xu Tan Jiang Bian Hany Awadalla Arul Menezes Tao Qin Rui Yan 48 18 0 28 Apr 2023
Learning Music Representations with wav2vec 2.0 Alessandro Ragano Emmanouil Benetos Andrew Hines 22 9 0 27 Oct 2022
The Efficacy of Self-Supervised Speech Models for Audio Representations Tung-Yu Wu Chen An Li Tzu-Han Lin Tsung-Yuan Hsu Hung-yi Lee 26 5 0 26 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021