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.
Mmedit: A unified framework for multi-type audio editing via audio language model,
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Hybrid two-stage diffusion transformer architecture for instruction-guided audio editing via rectified flow that performs joint attention at low resolution then alternates joint and cross-attention at high resolution for improved performance and efficiency.
UNISON introduces a unified latent diffusion framework with layer-wise LLM fusion and channel-mask task encoding for multiple speech and sound generation and editing tasks.
citing papers explorer
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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.
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Hybrid Diffusion Transformer for Instruction-Guided Audio Editing via Rectified Flow
Hybrid two-stage diffusion transformer architecture for instruction-guided audio editing via rectified flow that performs joint attention at low resolution then alternates joint and cross-attention at high resolution for improved performance and efficiency.