DiffVQE is the first reproducible non-causal diffusion model for acoustic echo cancellation and denoising that outperforms the prior DeepVQE model in performance, model size, and computational complexity.
It is one of the first diffusion-based acoustic echo con- trol (AEC) methods (still non-causal), being smaller, less com- plex and faster than the so-far SOTADeepVQE
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
eess.AS 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
DiffVQE: Hybrid Diffusion Voice Quality Enhancement Under Acoustic Echo and Noise
DiffVQE is the first reproducible non-causal diffusion model for acoustic echo cancellation and denoising that outperforms the prior DeepVQE model in performance, model size, and computational complexity.