Tomohiko Nakamura

jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus

Dec 09, 2022
Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji, Satoru Fukayama, Hiroshi Saruwatari

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* Submitted to ICASSP2023

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Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders

Sep 27, 2022
Futa Nakashima, Tomohiko Nakamura, Norihiro Takamune, Satoru Fukayama, Hiroshi Saruwatari

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* 8 pages, 4 figures, to be published in Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2022

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Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning

Jul 22, 2022
Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari

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* Accepted to International Workshop on Acoustic Signal Enhancement (IWAENC) 2022

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Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation

Jul 22, 2022
Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura, Hiroshi Saruwatari

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* Accepted to International Workshop on Acoustic Signal Enhancement (IWAENC) 2022

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SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling

Mar 24, 2022
Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, Hiroshi Saruwatari

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* Submitted to INTERSPEECH 2022

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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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Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis

Sep 10, 2021
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino

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* accepted for APSIPA2021

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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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