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Towards Learning Universal Audio Representations

Research article (ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022) · cited 43× · AI/ML
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scholarly article[2]

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Authored by 8
Adrià Recasens, Andrew Brock, Andrew Jaegle, João Carreira, Lucas Smaira, Luyu Wang, Pauline Luc, Sander Dieleman
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Adrià Recasens, Andrew Brock, Andrew Jaegle, João Carreira, Lucas Smaira, Luyu Wang, Pauline Luc, Sander Dieleman
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Summary

Towards Learning Universal Audio Representations is a scholarly article[1].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Towards Learning Universal Audio Representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-learning-universal-audio-representations
MLA “Towards Learning Universal Audio Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-learning-universal-audio-representations.
BibTeX @misc{4ortxyz_towards-learning-universal-audio-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards Learning Universal Audio Representations}}, year = {2026}, url = {https://4ort.xyz/entity/towards-learning-universal-audio-representations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards Learning Universal Audio Representations — https://4ort.xyz/entity/towards-learning-universal-audio-representations (retrieved 2026-05-24)

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