34 citations · 155 across the 23 of their papers we have counts for
Showing cs.SDShow all
2 papers · 1 filter
cs.SD2021
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura +4
Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed. In conventional RCS…
cs.SD2021
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures
Li Li, Hirokazu Kameoka, Shoji Makino
This paper proposes a new source model and training scheme to improve the accuracy and speed of the multichannel variational autoencoder (MVAE) method. The MVAE method is a recentl…