Suno Adds Audio Watermarking and Fingerprinting to Curb Abuse
The announcement responds to criticism that users upload Suno tracks to streaming platforms for profit, while Suno faces lawsuits from major labels and a class action over a data breach.
Reporting from 1 source: GIGAZINE.
Suno announced new tools to identify AI-generated songs, restrict downloads, and prevent impersonation. The platform will introduce audio watermarking and fingerprinting, update community guidelines to ban fake voices and unauthorized likeness use, and partner with Musixmatch and Sentinal for lyrics and copyright detection. A new download policy targets mass distribution on streaming platforms.
Suno's co-founder and CEO Mikey Shulman said the tools are designed to be durable and tamper-resistant without harming the listening experience, and are not meant to judge a song's quality or humanity. He added that artists and platforms should decide what gets published, and Suno's role is to provide transparency options and build tools for industry collaboration.
The company did not specify whether it will use existing watermarking technology like Google's Synth ID or a different system. TechCrunch has asked Suno for details but had not received a response at the time of writing.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.