Track 2: Agent Track

Participants build an autonomous audio editing agent that may orchestrate multiple open-source models and signal-processing tools, including ASR, captioning, source separation, acoustic analysis, planning, and iterative editing. An agent may maintain structured memory, inspect intermediate audio, and revise its output. This track evaluates system-level planning, tool selection, execution, and self-correction.

Task Scope: Tasks may use any MMAE audio modality and any MMAE complexity category, including single and complex multi-part, multi-instruction, multi-audio, multi-round, and multi-hop tasks. Final evaluation will use the corresponding portion of an organizer-held internal test set.

Rules and Restrictions:

  1. Open-source models, tools, and data only. Every component and data resource must be publicly available under research-permissive terms; commercial or hosted APIs are prohibited.
  2. Full system and trajectory submission. Finalists must provide runnable code, environment specifications, prompts, tool-call records, intermediate artifacts, random seeds, runtimes, and final outputs for audit.
  3. No human-in-the-loop. Inference-time human assistance, output selection, and manual curation or post-processing are strictly prohibited.
  4. Common resource envelope. All final submissions will follow the same announced limits on compute, runtime, storage, and tool calls within this track.

Baseline: No official baseline is available at the time of proposal submission.