4 citations · 15 across the 24 of their papers we have counts for
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Fast Multichannel NMF with Block-Diagonal Spatial Covariance Matrices for Efficient Blind Source Separation Using Distributed Microphone Arrays
Hirotaka Nishikori, Nobutaka Ito, Kouei Yamaoka +2
Distributed microphone arrays composed of multiple subarrays enable blind source separation over a wide spatial area. Directly applying fast multichannel nonnegative matrix factori…
Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders
Futa Nakashima, Tomohiko Nakamura, Norihiro Takamune +2
In this paper, we propose a musical instrument sound synthesis (MISS) method based on a variational autoencoder (VAE) that has a hierarchy-inducing latent space for timbre. VAE-bas…
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura +5
Independent low-rank matrix analysis (ILRMA) is a fast and stable method for blind audio source separation. Conventional ILRMAs assume time-variant (super-)Gaussian source models,…
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation
Shinichi Mogami, Hayato Sumino, Daichi Kitamura +4
In this paper, we address a multichannel audio source separation task and propose a new efficient method called independent deeply learned matrix analysis (IDLMA). IDLMA estimates…