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  "text": "Can AI truly edit audio, not just generate it? 🎧\n\nTencent Hy, in collaboration with SJTU, SII, NTU, TJU, ZODA, PKU, FDU, and other collaborators, introduces MMAE.\n\nMMAE--A Massive Multitask Audio Editing Benchmark, is the first comprehensive evaluation benchmark for speech and audio \"Banana🍌\"\n\nInstead of simply requiring the AI to \"generate\" audio, it demands that the AI understand an existing audio clip and precisely modify it according to natural language instructions—altering what needs to be changed while leaving the rest untouched.\n\nCurrent models show an Exact Match Rate (EMR) below 5%, revealing a major gap in reliable audio editing.\n\nMMAE includes:\n✅ 2,000 high-fidelity samples from real-world scenarios\n✅ 17,741 fine-grained rubric evaluation items\n✅ 7 modality settings across sound, music, speech and their mixtures\n✅ 6 task complexity from basic modifications to multi-hop reasoning and multi-round editing\n✅ 8 operation types across local and global granularities\n\nHow to use:\narXiv: https://t.co/TM81ahH7PZ\nGitHub:  https://t.co/UR1dRUKqMD\nHuggingFace: https://t.co/1MHR1n3LJn\nDemo: https://t.co/tz2TVHaCk8",
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