StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation
Diffusion models have shown a great ability at bridging the performance gap between
predictive and generative approaches for speech enhancement. We have shown that they …
predictive and generative approaches for speech enhancement. We have shown that they …
Causal diffusion models for generalized speech enhancement
In this work, we present a causal speech enhancement system that is designed to handle
different types of corruptions. This paper is an extended version of our contribution to the …
different types of corruptions. This paper is an extended version of our contribution to the …
ICASSP 2023 speech signal improvement challenge
The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research
in the area of improving the speech signal quality in communication systems. The speech …
in the area of improving the speech signal quality in communication systems. The speech …
Diffusion-based generative modeling with discriminative guidance for streamable speech enhancement
Diffusion-based generative models (DGMs) have recently attracted attention in speech
enhancement (SE) research as previous works showed a remarkable generalization …
enhancement (SE) research as previous works showed a remarkable generalization …
A Maximum Entropy Information Bottleneck (MEIB) Regularization for Generative Speech Enhancement with HiFi-GAN
Generative approaches to speech enhancement using a vocoder to synthesize a clean
speech estimate aim at solving the problem of residual noise occuring with typical …
speech estimate aim at solving the problem of residual noise occuring with typical …