Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Dong Yao,
Zhou Zhao,
Shengyu Zhang
et al.
Abstract:Self-supervised learning, especially contrastive learning, has made an outstanding contribution to the development of many deep learning research fields. Recently, researchers in the acoustic signal processing field noticed its success and leveraged contrastive learning for better music representation. Typically, existing approaches maximize the similarity between two distorted audio segments sampled from the same music. In other words, they ensure a semantic agreement at the music level. However, those coarse… Show more
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