30 citations · 46 across the 22 of their papers we have counts for
3 papers · 1 filter
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,…
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune +2
This paper presents a deep neural network (DNN)-based phase reconstruction from amplitude spectrograms. In audio signal and speech processing, the amplitude spectrogram is often us…
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…