L Zhang, M Wang, Q Zhang, X Wang… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Recent deep neural network (DNN) based single-channel speech enhancement methods have achieved remarkable results in the time-frequency (TF) magnitude domain. To further …
P Mowlaee, J Kulmer - IEEE/ACM Transactions on Audio …, 2015 - ieeexplore.ieee.org
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 …
N Dionelis, M Brookes - IEEE/ACM Transactions on Audio …, 2018 - ieeexplore.ieee.org
We present a speech enhancement algorithm that performs modulation-domain Kalman filtering to track the speech phase using circular statistics, along with the spectral log …
Within the last three decades research in single-channel speech enhancement has been mainly focused on filtering the noisy spectral amplitude without that much focus on the …
X Wang, C Bao - Applied Acoustics, 2019 - Elsevier
For deep neural network (DNN)-based methods, the time-frequency (TF) masks are commonly used as the training target. However, most of them do not focus on the phase …
Y Masuyama, K Yatabe… - 2018 16th International …, 2018 - ieeexplore.ieee.org
In acoustical signal processing, the importance of modifying the phase spectrogram has been shown. Recently, model-based phase recovery which is based on the sinusoidal …
Phase-aware processing has recently attracted lots of interest among researchers in speech signal processing field as successful results have been reported for various applications …
SY Barysenka, VI Vorobiov - IEEE/ACM Transactions on Audio …, 2023 - ieeexplore.ieee.org
The fundamental problem of phase-aware single-channel speech enhancement is the estimation of the harmonic phase of signal components from noisy observations. One …
The single-channel speech enhancement problem is addressed. We propose a pitch- adaptive short-time Fourier transform (PASTFT) framework to obtain a signal-dependent …