Suno to Add Hidden Watermarks to AI-Generated Music
AI music platform Suno is introducing hidden audio watermarking and fingerprinting technologies to identify tracks generated on its platform. The company is also implementing download limits to prevent the mass uploading of AI-generated songs to streaming services. This move comes amid intense legal pressure from major record labels like Sony, Universal, and Warner Music, who are pushing to keep AI-generated spam out of global music charts. It represents a significant step toward establishing copyright compliance and content provenance in the AI music industry. The technology will allow other platforms to detect if a song originated from Suno, while the new download restrictions aim to curb the repetitive uploading of AI tracks. However, specific technical details regarding the robustness of the watermark against compression or editing have not been fully disclosed.
## BACKGROUND
Audio watermarking embeds imperceptible data directly into an audio signal, while acoustic fingerprinting generates a unique digital summary of a sound file to identify it in databases. These technologies are widely used for copyright compliance, tracking media broadcasts, and verifying content authenticity.