Scholar
Tomohiko Nakamura
Google Scholar ID: bHny6PAAAAAJ
National Institute of Advanced Industrial Science and Technology (AIST)
Signal-processing-inspired deep learning
audio signal processing
music signal processing
machine learning
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Citations & Impact
All-time
Citations
396
H-index
11
i10-index
14
Publications
20
Co-authors
22
list available
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No contact links provided.
Publications
9 items
Phase-Retrieval-Based Physics-Informed Neural Networks For Acoustic Magnitude Field Reconstruction
2026
Cited
0
Dissecting Performance Degradation in Audio Source Separation under Sampling Frequency Mismatch
2026
Cited
0
Drum-to-Vocal Percussion Sound Conversion and Its Evaluation Methodology
2025
Cited
0
Head-Related Transfer Function Individualization Using Anthropometric Features and Spatially Independent Latent Representation
2025
Cited
0
Hyperbolic Embeddings for Order-Aware Classification of Audio Effect Chains
2025
Cited
0
Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer
2025
Cited
0
IdolSongsJp Corpus: A Multi-Singer Song Corpus in the Style of Japanese Idol Groups
2025
Cited
0
Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network
2025
Cited
0
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Co-authors
22 total
Hiroshi Saruwatari
Professor, The University of Tokyo
Hirokazu Kameoka
Senior Distinguished Researcher at NTT, Adjunct Associate Professor at NII
Co-author 3
Satoru Fukayama
National Institute of Advanced Industrial Science and Technology (AIST)
Co-author 5
Yu Takahashi
Yamaha Corporation
Shinnosuke Takamichi
Keio University
Nobutaka Ono
Professor, Tokyo Metropolitan University
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