A noniterative method for the reconstruction of the short-time fourier transform (STFT) phase
from the magnitude is presented. The method is based on the direct relationship between …

Featured Application The proposed framework is highly suitable for audio applications that
require analysis–synthesis systems with the following properties: stability, perfect …

We propose a data-driven design method of perfect-reconstruction filterbank (PRFB) for
sound-source enhancement (SSE) based on deep neural network (DNN). DNNs have been …

We present a novel family of continuous, linear time-frequency transforms adaptable to a
multitude of (nonlinear) frequency scales. Similar to classical time-frequency or time-scale …

In convex optimization, it is often inevitable to work with projectors onto convex sets
composed with a linear operator. Such a need arises from both the theory and applications …

We present a novel family of continuous linear time-frequency transforms adapted to a
multitude of (nonlinear) frequency scales. Similar to classical time-frequency or timescale …

音声強調は様々なタスクの前処理として応用される重要な音響信号処理である. 近年,
深層ニューラルネットワーク (DNN) を用いた時間周波数マスキングが音声強調に適用されており …