activity
20172022
most citedMM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction

11 citations · 22 across the 7 of their papers we have counts for

collaborators

11 papers

cs.SD2022

End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation

Yoshiki Masuyama, Xuankai Chang, Samuele Cornell +2

Self-supervised learning representation (SSLR) has demonstrated its significant effectiveness in automatic speech recognition (ASR), mainly with clean speech. Recent work pointed o…

eess.SP2022

Estimation of Consistent Time Delays in Subsample via Auxiliary-Function-Based Iterative Updates

Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono

In this paper, we propose a new algorithm for the estimation of multiple time delays (TDs). Since a TD is a fundamental spatial cue for sensor array signal processing techniques, m…

eess.AS2021

Joint Dereverberation and Separation with Iterative Source Steering

Taishi Nakashima, Robin Scheibler, Masahito Togami +1

We propose a new algorithm for joint dereverberation and blind source separation (DR-BSS). Our work builds upon the IRLMA-T framework that applies a unified filter combining dereve…

cs.CV2020

Difficulty in estimating visual information from randomly sampled images

Masaki Kitayama, Hitoshi Kiya

In this paper, we evaluate dimensionality reduction methods in terms of difficulty in estimating visual information on original images from dimensionally reduced ones. Recently, di…

eess.SP202011 cited

MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction

Robin Scheibler, Nobutaka Ono

In this work, we propose efficient algorithms for joint independent subspace analysis (JISA), an extension of independent component analysis that deals with parallel mixtures, wher…

cs.SD20191 cited

Fast Independent Vector Extraction by Iterative SINR Maximization

Robin Scheibler, Nobutaka Ono

We propose fast independent vector extraction (FIVE), a new algorithm that blindly extracts a single non-Gaussian source from a Gaussian background. The algorithm iteratively compu…