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The Efficacy of Self-Supervised Speech Models for Audio Representations
v1v2v3 (latest)

The Efficacy of Self-Supervised Speech Models for Audio Representations

26 September 2022
Tung-Yu Wu
Chen-An Li
Tzu-Han Lin
Tsung-Yuan Hsu
Hung-yi Lee
ArXiv (abs)PDFHTML

Papers citing "The Efficacy of Self-Supervised Speech Models for Audio Representations"

4 / 4 papers shown
Title
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio DoppelgängersInternational Conference on Learning Representations (ICLR), 2024
Manuel Cherep
Nikhil Singh
259
1
0
09 Jun 2024
Benchmarking Representations for Speech, Music, and Acoustic Events
Benchmarking Representations for Speech, Music, and Acoustic Events
Moreno La Quatra
Alkis Koudounas
Lorenzo Vaiani
Elena Baralis
Luca Cagliero
Paolo Garza
Sabato Marco Siniscalchi
147
28
0
02 May 2024
EnCodecMAE: Leveraging neural codecs for universal audio representation
  learning
EnCodecMAE: Leveraging neural codecs for universal audio representation learning
L. Pepino
Pablo Riera
Luciana Ferrer
189
9
0
14 Sep 2023
Looking Similar, Sounding Different: Leveraging Counterfactual
  Cross-Modal Pairs for Audiovisual Representation Learning
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Nikhil Singh
Chih-Wei Wu
Iroro Orife
Mahdi M. Kalayeh
344
3
0
12 Apr 2023
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