music-4

Singer Identification

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in singer-identification-4

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Libraries

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Use these libraries to find singer-identification-4 models and implementations

Datasets

VocalSet

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Most implemented papers

Addressing The Confounds Of Accompaniments In Singer Identification

Yi-Hsuan Yang, Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan, Yu-Ching Yang•Sun Feb 16 2020

This paper employs open-unmix, an open source tool with state-of-the-art performance in source separation, to separate the vocal and instrumental tracks of music, and investigates two means to train a singer identification model: by learning from the separated vocal only, or from an augmented set of data where the singers are artificially made to sing in different contexts.

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Paper Graph

Self-Supervised Contrastive Learning for Singing Voices

Hiromu Yakura, Kento Watanabe, Masataka Goto•Fri Dec 31 2021

The proposed approach to self-supervised contrastive learning to acquire feature representations attentive to either vocal timbre or singing expression but not to the other by changing how the transformations are incorporated is extended.

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Paper Graph

Adding a benchmark result helps the community track progress.