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This work presents two new methods for learning musical embeddings that leverage context while simultaneously imposing a shape on the feature space ...
"By combining self-supervised learning techniques based on contextual prediction with adversarial training we demonstrate it is possible to impose a prior ...
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We have built a music similarity search engine that lets video producers search by listenable music excerpts, as a complement to traditional full-text ...
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Jun 13, 2022 · In this study, we propose MUlti-Segmental Informational Coding (MUSIC) for self-supervised representation learning.
Dec 9, 2022 · The purpose of this survey is to present an overview of the SSL techniques used in audio and speech processing applications.
7 hours ago · However, the shared acoustic cues between speech and music, particularly those encoded by Self-Supervised Learning (SSL) models, remain largely ...
The paper presents a language-conditional sound source separation framework able to separate single sources from mixtures without using single-source audio ...
Feb 4, 2022 · Our system suggests similar sounding track segments in a large music catalog by training a self-supervised convolutional neural network with ...
Our method outperformed existing self-supervised learn- ing models and even substantially improved supervised learning performance through transfer learning.