Beatdapp AIMD - AI Music Detection¶
Beatdapp AIMD is an inference service that detects AI-generated music using deep learning models. It accepts audio files via Google Cloud Storage and returns a prediction with confidence scores.
How It Works¶
- Audio input — You provide a GCS URI pointing to an audio file (MP3, WAV, FLAC, etc.)
- Analysis — A proprietary ensemble of deep learning models analyzes the audio
- Result — Returns
AIorREALwith a confidence score
Delivery¶
The AIMD inference service is delivered as a Docker image via Google Artifact Registry. You deploy it to Google Cloud Run with an NVIDIA L4 GPU.
Documentation¶
| Section | Description |
|---|---|
| Getting Started | Pull the image, configure, deploy, and verify |
| Configuration | Environment variables, authentication, and rate limiting |
| API Reference | Endpoint specifications, request/response schemas |
| Usage Examples | cURL and Python examples, interpreting results |
| Troubleshooting | Common errors and debugging |
| Release Notes | Version history with Docker image tags and digests |
Support¶
For questions or issues, contact your Beatdapp representative.