Summary
Researchers discovered that CNN-based detection of AI-generated music fails when audio is compressed to formats like MP3, as the compression removes the subtle spectral artifacts the models rely on. This work introduces a dual-engine approach designed to overcome this limitation, enabling more robust and practical detection of AI-generated music in real-world compressed audio scenarios.
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