MMAE is a new multitask audio editing benchmark showing that leading models achieve under 5% exact match rate, with 0% on complex mixed-modality tasks.
WavCraft: Audio editing and generation with large language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MMAE: A Massive Multitask Audio Editing Benchmark
MMAE is a new multitask audio editing benchmark showing that leading models achieve under 5% exact match rate, with 0% on complex mixed-modality tasks.