Kouhei Sekiguchi — accepted AI-conference papers

2022

Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments

Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii

IROS 2022poster

This paper describes the practical response- and performance-aware development of online speech enhancement for an augmented reality (AR) headset that helps a user understand conversations made in real noisy echoic environments (e.g., cocktail party). One may use a state-of-the-art blind source sepa…

Cited by 6 Source ↗Scholar ↗

2022

Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation

Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii

ICASSP 2022accepted

This paper describes a blind source separation method for multichannel audio signals, called NF-FastMNMF, based on the integration of the normalizing flow (NF) into the multichannel nonnegative matrix factorization with jointly-diagonalizable spatial covariance matrices, a.k.a. FastMNMF. Whereas the…

Cited by 0 Source ↗Scholar ↗

2021

Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And Dereverberation

Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii

ICASSP 2021accepted

This paper describes a joint blind source separation and dereverberation method that works adaptively and efficiently in a reverberant noisy environment. The modern approach to blind source separation (BSS) is to formulate a probabilistic model of multichannel mixture signals that consists of a sour…

Cited by 0 Source ↗Scholar ↗

2019

A Deep Generative Model of Speech Complex Spectrograms

Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii

ICASSP 2019accepted

This paper proposes an approach to the joint modeling of the short-time Fourier transform magnitude and phase spectrograms with a deep generative model. We assume that the magnitude follows a Gaussian distribution and the phase follows a von Mises distribution. To improve the consistency of the phas…

Cited by 0 Source ↗Scholar ↗

2016

Online simultaneous localization and mapping of multiple sound sources and asynchronous microphone arrays

Kouhei Sekiguchi, Yoshiaki Bando, Keisuke Nakamura, Kazuhiro Nakadai, Katsutoshi Itoyama, Kazuyoshi Yoshii

IROS 2016poster

This paper presents an online method of simultaneous localization and mapping (SLAM) for estimating the positions of multiple moving sound sources and stationary robots and synchronizing microphone arrays attached to those robots. Since each robot with a microphone array can solely estimate the dire…

Cited by 18 Source ↗Scholar ↗

2015

Optimizing the layout of multiple mobile robots for cooperative sound source separation

Kouhei Sekiguchi, Yoshiaki Bando, Katsutoshi Itoyama, Kazuyoshi Yoshii

IROS 2015poster

This paper presents a novel active audition method that enables multiple mobile robots to move to optimal positions for improving the performance of sound source separation. A main advantage of our distributed system is that each robot has its own microphone array and all mobile robots can collabora…

Cited by 7 Source ↗Scholar ↗