AI Music Detection API by Modulate
Overview
Modulate AI Music Detection API is a music detection tool designed for platforms, distributors, and rights holders. It is capable of identifying AI-generated tracks, both vocal and instrumental, before they are monetized, distributed, or licensed.
The tool functions by examining clip-level verdicts built from smaller chunks of evidence taken in four-second windows. Users send audio and receive back a primary verdict, per-window scores, and confidence values.
The system is suitable for batch-processing an entire audio file or real-time music streaming, resulting in the same structured output in either format.Modulate supports several audio formats, such as .aac, .flac, .m4a, .mp3, .mp4, .ogg, .opus, .wav, and handles files of up to 100 MB.
It uses WebSocket for real-time streaming and delivers verdicts as audio arrives, with the final verdict provided at the end of the stream.The tool features adjustable thresholds so users can independently set vocal and instrumental detection thresholds to suit their use case without the need to retrain the system.
With separate models for vocals and instrumental signals, it can confidently identify AI-generated singing, rap, or music within a window, including AI vocals overlaid on human music.Modulate can determine AI-generated instrumental content when vocal content is insufficient, useful for fully AI-generated tracks devoid of vocals.
Results are per-window and aggregated into a clip-level verdict.This tool helps in reducing false positives with its window-level scoring and tunable thresholds.
It assists in policy enforcement, rights protection, and compliance maintenance. It tracks AI-generated music uploaded to farm streaming royalties, ensuring legitimate human artists don't get diluted payouts.The API also allows for real-time WebSocket streaming, making it a helpful tool for automated detection.
Moreover, it aids in verifying content before issuing contracts, screening contents before it reaches platforms, and identifies non-disclosed uploads, minimizing compliance exposure.

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