ACRCloud launches AI Music Detector, a solution designed to assist Digital Service Providers (DSPs), music distributors, music collection societies and rights holders in identifying AI-generated music.
As generative AI tools become more accessible, the volume of AI-created music entering streaming platforms continues to grow. This presents new requirements for content labeling, copyright compliance, and quality control. ACRCloud's solution addresses this by analyzing audio files to determine the probability of AI generation and its source.
The AI Music Detector utilizes neural network analysis to detect specific audio artifacts. It provides a probability score and detailed metadata regarding the audio's origin.
Key features include:
- AI vs. Human Detection: Distinguishes whether a track is human-created or AI-generated.
- Model Identification: Identifies the specific generative model or platform used (e.g., Suno, Udio) when AI content is detected.
- Vocal & Accompaniment Analysis: Capable of analyzing the full track, as well as separately detecting AI generation within the vocal or accompaniment parts.
This solution is offered free of charge when used in conjunction with ACRCloud's Derivative Works Detection service.
For details, please visit: AI Music Detector