PiCoGen: Generate Piano Covers with a Two-stage Approach
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Abstract (arXiv)
Cover song generation stands out as a popular way of music making in the music-creative community. In this study, we introduce Piano Cover Generation (PiCoGen), a two-stage approach for automatic cover song generation that transcribes the melody line and chord progression of a song given its audio recording, and then uses the resulting lead sheet as the condition to generate a piano cover in the symbolic domain. This approach is advantageous in that it does not required paired data of covers and their original songs for training. Compared to an existing approach that demands such paired data, our evaluation shows that PiCoGen demonstrates competitive or even superior performance across songs of different musical genres.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jul 2024.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2025Time-Shifted Token Scheduling for Symbolic Music Generationcited by 2
- 2024AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Modelcited by 1
- 2025Etude: Piano Cover Generation with a Three-Stage Approach -- Extract, strucTUralize, and DEcodecited by 1
- 2025Segment-Factorized Full-Song Generation on Symbolic Piano Musiccited by 1
- 2024Tuning Music Education: AI-Powered Personalization in Learning Musiccited by 0
- 2026Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrievalcited by 0
- 2026Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrieval16 Feb 2026
- 2025Segment-Factorized Full-Song Generation on Symbolic Piano Music7 Oct 2025
- 2025Time-Shifted Token Scheduling for Symbolic Music Generation28 Sep 2025
- 2025Etude: Piano Cover Generation with a Three-Stage Approach -- Extract, strucTUralize, and DEcode20 Sep 2025
- 2024Tuning Music Education: AI-Powered Personalization in Learning Music18 Dec 2024
- 2024AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model21 Sep 2024