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anonymous2026082026/MMAG-Benchmark

MMAG: A Multi‑Control Mixed Audio Generation Benchmark MMAG is a comprehensive benchmark for evaluating mixed audio generation under multiple control conditions. It assesses a model's ability to generate coherent acoustic scenes containing speech, music, and sound effects simultaneously, while supporting fine-grained control over speaker identity and temporal alignment. Dataset Structure The dataset is organized into three subsets, each targeting a specific… See the full description on the dataset page: https://huggingface.co/datasets/anonymous2026082026/MMAG-Benchmark.

Author / organizationanonymous2026082026
License (as declared)cc-by-4.0
Downloads258 (as reported by Hugging Face)
Likes0
Created6 August 2026
Last updated at source26 September 2026
audio-generationmixed-audiobenchmarkmulti-controlvoice-cloningtemporal-control
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