Learning to Recognize Musical Genre from Audio
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Abstract (arXiv)
We here summarize our experience running a challenge with open data for musical genre recognition. Those notes motivate the task and the challenge design, show some statistics about the submissions, and present the results.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Mar 2018.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 3; 2025: 2; 2026: 2.
9 papers.
- 2025SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generationcited by 29
- 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesiscited by 25
- 2022Where to Pay Attention in Sparse Training for Feature Selection?cited by 15
- 2024Detecting music deepfakes is easy but actually hardcited by 7
- 2021CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGANcited by 4
- 2024From Real to Cloned Singer Identificationcited by 3
- 2025Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learningcited by 1
- 2024Benchmarking Sub-Genre Classification For Mainstage Dance Musiccited by 0
- 2026Variable-Length Audio Fingerprintingcited by 0
- 2026Variable-Length Audio Fingerprinting25 Mar 2026
- 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis6 Mar 2026
- 2025Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learning29 Nov 2025
- 2025SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation18 Feb 2025
- 2024Benchmarking Sub-Genre Classification For Mainstage Dance Music10 Sep 2024
- 2024From Real to Cloned Singer Identification11 Jul 2024
- 2024Detecting music deepfakes is easy but actually hard7 May 2024
- 2022Where to Pay Attention in Sparse Training for Feature Selection?26 Nov 2022
- 2021CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN1 Apr 2021