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Zhibin Qiu

2 accepted papers

2023

Mitigating Domain Dependency for Improved Speech Enhancement Via SNR Loss Boosting

ICASSP 2023accepted

Current supervised speech enhancement methods based on deep learning typically utilize amplitude-based loss functions for optimization, such as Mean Absolute Error (MAE) or Mean Square Error (MSE) loss, which measures the difference between the amplitudes of the estimated and clean speech signals. H…

Cited by 0SourceScholar
2023

SRTNET: Time Domain Speech Enhancement via Stochastic Refinement

ICASSP 2023accepted

Diffusion model, as a new generative model which is very popular in image generation and audio synthesis, is rarely used in speech enhancement. In this paper, we use the diffusion model as a module for stochastic refinement. We propose SRTNet, a novel method for speech enhancement via Stochastic Ref…

Cited by 0SourceScholar