most citedA Deep Generative Model of Speech Complex Spectrograms

19 citations · 31 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS2022

DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF

Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine +2

This paper describes a practical dual-process speech enhancement system that adapts environment-sensitive frame-online beamforming (front-end) with help from environment-free block…

eess.AS2022

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

Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du +3

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 conve…

eess.AS2022

Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments

Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi +3

This paper describes noisy speech recognition for an augmented reality headset that helps verbal communication within real multiparty conversational environments. A major approach…

cs.SD2022★ 9 cited

Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation

Mathieu Fontaine, Kouhei Sekiguchi, Aditya Nugraha +2

This paper describes heavy-tailed extensions of a state-of-the-art versatile blind source separation method called fast multichannel nonnegative matrix factorization (FastMNMF) fro…

cs.SD2019★ 19 cited

A Deep Generative Model of Speech Complex Spectrograms

Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii

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 magnitud…

cs.SD2019★ 3 cited

Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices

Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando +1

This paper describes a versatile method that accelerates multichannel source separation methods based on full-rank spatial modeling. A popular approach to multichannel source separ…