Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …

In this work, we build upon our previous publication and use diffusion-based generative
models for speech enhancement. We present a detailed overview of the diffusion process …

In this paper, we present an overview on the topic of noise reduction in the short-time Fourier
transform (STFT) domain. First, we briefly review the conventional literature in the single-and …

Statistical estimators of the magnitude-squared spectrum are derived based on the
assumption that the magnitude-squared spectrum of the noisy speech signal can be …

This paper focuses on the class of single-channel noise reduction methods that are
performed in the frequency domain via the short-time Fourier transform (STFT). The …

This paper considers estimation of the noise spectral variance from speech signals
contaminated by highly nonstationary noise sources. The method can accurately track fast …

In this letter, we derive a minimum mean squared error (MMSE) optimal estimator for clean
speech spectral amplitudes, which we apply in single channel speech enhancement. As …

In this chapter, we consider spectral masking filters for interference reduction in case of a
single‐channel input. The considered techniques are thus relevant when only one …

The most well-known conventional speech enhancement algorithms introduce unwanted
artifact noise and speech distortion to the enhanced signal. Reducing the effects of such …

Because of their many applications and their relative ease of implementation, single-
channel speech enhancement algorithms have received much attention. As a consequence …