aceLSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features
Detecting AI-generated classical music is a growing challenge as artificial intelligence continues to improve its ability to compose pieces that closely resemble human compositions. This study explores the use of deep learning methods like LSTM and CNN to classify whether a set of classical music is generated by AI or humans. The classification is based on sequential features extracted from MIDI files using beat-based segmentation, capturing statistical data of pitch, velocity, and duration over segments. The mo…
AI systems can now compose classical pieces that closely resemble human compositions, making detection increasingly difficult.
Model robustness is limited by dataset scope and feature set, requiring broader compositions and additional musical features for wider applicability.
Evidence
- Peer-reviewedInformatica2025-11-10
How should this claim be treated?
Truvace Impact Record TRV-2026-0447, v1: “LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features.” Truvace, 2026-07-20. /record/TRV-2026-0447 (accessed at citation time). sha256 c28a16bb209ce5ee…
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