46 citations · 97 across the 9 of their papers we have counts for
9 papers
Subspace Track-before-Detect for Passive Multi-Target Tracking with Unknown Emitted Signals
Nobutaka Ito, Yoshiaki Bando
Passive multi-target tracking (MTT) aims to infer the time-varying kinematic and activity states of an unknown number of sources that emit unknown and possibly nonstationary signal…
cSTMM: A Unified Complex Spherical Student's Mixture Model for Directional Statistics in Mask-Based Blind Speech Separation
Nobutaka Ito
Directional-statistics-based mask-based blind speech separation (BSS) clusters normalized time-frequency (TF) observations from microphones on the complex unit sphere, without…
30+ Years of Source Separation Research: Achievements and Future Challenges
Shoko Araki, Nobutaka Ito, Reinhold Haeb-Umbach +3
Source separation (SS) of acoustic signals is a research field that emerged in the mid-1990s and has flourished ever since. On the occasion of ICASSP's 50th anniversary, we review…
Audio Signal Enhancement with Learning from Positive and Unlabelled Data
Nobutaka Ito, Masashi Sugiyama
Supervised learning is a mainstream approach to audio signal enhancement (SE) and requires parallel training data consisting of both noisy signals and the corresponding clean signa…
A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter
Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada +1
This paper presents a computationally efficient approach to blind source separation (BSS) of audio signals, applicable even when there are more sources than microphones (i.e., the…
A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise
Nobutaka Ito, Simon Godsill
This paper proposes a novel particle filter for tracking time-varying states of multiple targets jointly from superpositional data, which depend on the sum of contributions of all…