activity
20182022
most citedConsistent ICA: Determined BSS meets spectrogram consistency

14 citations · 60 across the 17 of their papers we have counts for

collaborators

20 papers

cs.SD2021

Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method

Koichi Saito, Tomohiko Nakamura, Kohei Yatabe +2

Audio source separation is often used as preprocessing of various applications, and one of its ultimate goals is to construct a single versatile model capable of dealing with the v…

eess.SP2021

Sparse time-frequency representation via atomic norm minimization

Tsubasa Kusano, Kohei Yatabe, Yasuhiro Oikawa

Nonstationary signals are commonly analyzed and processed in the time-frequency (T-F) domain that is obtained by the discrete Gabor transform (DGT). The T-F representation obtained…

cs.SD2021

Mixture of orthogonal sequences made from extended time-stretched pulses enables measurement of involuntary voice fundamental frequency response to pitch perturbation

Hideki Kawahara, Toshie Matsui, Kohei Yatabe +4

Auditory feedback plays an essential role in the regulation of the fundamental frequency of voiced sounds. The fundamental frequency also responds to auditory stimulation other tha…

eess.AS2021

Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech

Takuya Fujimura, Yuma Koizumi, Kohei Yatabe +1

Deep neural network (DNN)-based speech enhancement ordinarily requires clean speech signals as the training target. However, collecting clean signals is very costly because they mu…

cs.SD2020

Cascaded all-pass filters with randomized center frequencies and phase polarity for acoustic and speech measurement and data augmentation

Hideki Kawahara, Kohei Yatabe

We introduce a new member of TSP (Time Stretched Pulse) for acoustic and speech measurement infrastructure, based on a simple all-pass filter and systematic randomization. This new…

cs.SD20202 cited

Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling

Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe +3

Detecting sound source objects within visual observation is important for autonomous robots to comprehend surrounding environments. Since sounding objects have a large variety with…