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Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds



Masaya Kawamura , Tomohiko Nakamura , Daichi Kitamura , Hiroshi Saruwatari , Yu Takahashi , Kazunobu Kondo

* 5 pages, 2 figures, to appear in 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022) 

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Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models



Takuya Hasumi , Tomohiko Nakamura , Norihiro Takamune , Hiroshi Saruwatari , Daichi Kitamura , Yu Takahashi , Kazunobu Kondo

* 8 pages, 5 figures, accepted for Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA ASC 2021) 

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Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization



Yusaku Mizobuchi , Daichi Kitamura , Tomohiko Nakamura , Hiroshi Saruwatari , Yu Takahashi , Kazunobu Kondo

* Accepted and will be presented at APSIPA2021 

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Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation



Takuya Hasumi , Tomohiko Nakamura , Norihiro Takamune , Hiroshi Saruwatari , Daichi Kitamura , Yu Takahashi , Kazunobu Kondo

* 5 pages, 4 figures, accepted for European Signal Processing Conference 2021 (EUSIPCO 2021) 

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Monaural source enhancement maximizing source-to-distortion ratio via automatic differentiation



Hiroaki Nakajima , Yu Takahashi , Kazunobu Kondo , Yuji Hisaminato

* This paper is submitted to 16th International Workshop on Acoustic Signal Enhancement (IWAENC) 

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