Phase is important for perceptual quality of speech. However, it seems intractable to directly
estimate phase spectra through supervised learning due to their lack of spectrotemporal …

Speech separation systems usually operate on the short-time Fourier transform (STFT) of
noisy speech, and enhance only the magnitude spectrum while leaving the phase spectrum …

Phase is important for perceptual quality in speech enhancement. However, it seems
intractable to directly estimate phase spectrogram through supervised learning due to lack of …

The enhancement of speech which is corrupted by noise is commonly performed in the short-
time discrete Fourier transform domain. In case only a single microphone signal is available …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Modern deep learning-based models have seen outstanding performance improvement with
speech enhancement tasks. The number of parameters of state-of-the-art models, however …

This study investigates phase reconstruction for deep learning based monaural talker-
independent speaker separation in the short-time Fourier transform (STFT) domain. The key …

The end-to-end approach for single-channel speech separation has been studied recently
and shown promising results. This paper extended the previous approach and proposed a …

The phase response of noisy speech has largely been ignored, but recent research shows
the importance of phase for perceptual speech quality. A few phase enhancement …

In conventional single-channel speech enhancement, typically the noisy spectral amplitude
is modified while the noisy phase is used to reconstruct the enhanced signal. Several recent …