activity
20122023
most citedComparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms

34 citations · 155 across the 23 of their papers we have counts for

collaborators

24 papers

eess.AS2023

Neural network-based virtual microphone estimation with virtual microphone and beamformer-level multi-task loss

Hanako Segawa, Tsubasa Ochiai, Marc Delcroix +5

Array processing performance depends on the number of microphones available. Virtual microphone estimation (VME) has been proposed to increase the number of microphone signals arti…

cs.SD2021

Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis

Sota Misawa, Norihiro Takamune, Tomohiko Nakamura +4

Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed. In conventional RCS…

cs.SD2021

FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures

Li Li, Hirokazu Kameoka, Shoji Makino

This paper proposes a new source model and training scheme to improve the accuracy and speed of the multichannel variational autoencoder (MVAE) method. The MVAE method is a recentl…

cs.LG2018

Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier

Li Li, Hirokazu Kameoka, Shoji Makino

This paper proposes an alternative algorithm for multichannel variational autoencoder (MVAE), a recently proposed multichannel source separation approach. While MVAE is notable in…

stat.ML2018★ 33 cited

Semi-blind source separation with multichannel variational autoencoder

Hirokazu Kameoka, Li Li, Shota Inoue +1

This paper proposes a multichannel source separation technique called the multichannel variational autoencoder (MVAE) method, which uses a conditional VAE (CVAE) to model and estim…

q-bio.NC2015★ 19 cited

Chromatic and High-frequency cVEP-based BCI Paradigm

Daiki Aminaka, Shoji Makino, Tomasz M. Rutkowski

We present results of an approach to a code-modulated visual evoked potential (cVEP) based brain-computer interface (BCI) paradigm using four high-frequency flashing stimuli. To ge…