79 citations · 405 across the 40 of their papers we have counts for
4 papers · 1 filter
End-to-end training of time domain audio separation and recognition
Thilo von Neumann, Keisuke Kinoshita, Lukas Drude +4
The rising interest in single-channel multi-speaker speech separation sparked development of End-to-End (E2E) approaches to multi-speaker speech recognition. However, up until now,…
Jointly optimal dereverberation and beamforming
Christoph Boeddeker, Tomohiro Nakatani, Keisuke Kinoshita +1
We previously proposed an optimal (in the maximum likelihood sense) convolutional beamformer that can perform simultaneous denoising and dereverberation, and showed its superiority…
Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation
Tomohiro Nakatani, Keisuke Kinoshita
This article describes a probabilistic formulation of a Weighted Power minimization Distortionless response convolutional beamformer (WPD). The WPD unifies a weighted prediction er…
GEDI: Gammachirp Envelope Distortion Index for Predicting Intelligibility of Enhanced Speech
Katsuhiko Yamamoto, Toshio Irino, Shoko Araki +2
In this study, we propose a new concept, the gammachirp envelope distortion index (GEDI), based on the signal-to-distortion ratio in the auditory envelope, SDRenv to predict the in…