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Kazunobu Kondo

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

Feb 01, 2022
Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

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* 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

Sep 02, 2021
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo

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* 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

Sep 01, 2021
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

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* Accepted and will be presented at APSIPA2021

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

Jun 07, 2021
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo

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* 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

Jun 15, 2018
Hiroaki Nakajima, Yu Takahashi, Kazunobu Kondo, Yuji Hisaminato

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

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