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Shoji Makino

Shoji Makino

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
11257
World Ranking
4347
National Ranking
44

Electronics and Electrical Engineering

D-Index
55
Citations
11538
World Ranking
2187
National Ranking
77

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Shoji Makino is affiliated with Waseda University in Japan, focusing their research primarily within the broad domain of Computer Science. Their work extensively covers specialized subfields including Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Artificial Intelligence.

The core topics addressed by Shoji Makino encompass Speech and Audio Processing, Blind Source Separation Techniques, Advanced Adaptive Filtering Techniques, Music and Audio Processing, Speech Recognition and Synthesis, EEG and Brain-Computer Interfaces, and Gaze Tracking and Assistive Technology.

Their recent published papers demonstrate the range and focus of their research interests:

  • "Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms," 2020, arXiv (Cornell University)
  • "Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features," 2022, IEEE Access
  • "Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years," 2023, IEEE Signal Processing Magazine
  • "Time-Frequency-Bin-Wise Linear Combination of Beamformers for Distortionless Signal Enhancement," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Geometrically Constrained Independent Vector Analysis with Auxiliary Function Approach and Iterative Source Steering," 2022, 2022 30th European Signal Processing Conference (EUSIPCO)

Makino frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Journal of Signal Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • IEEE Access

Collaborations are a significant element of Makino's research output. Frequent coauthors include Takeshi Yamada, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, and Nobutaka Ono.

Best Publications

  • A robust and precise method for solving the permutation problem of frequency-domain blind source separation

    H. Sawada;R. Mukai;S. Araki;S. Makino

  • Speech Enhancement

    Jacob Benesty;Shoji Makino;Jingdong Chen

  • Blind speech separation

    Shoji Makino;Hiroshi Sawada;Te-Won Lee

  • The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech

    S. Araki;R. Mukai;S. Makino;T. Nishikawa

  • Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

    Hiroshi Sawada;Shoko Araki;Shoji Makino

  • Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

    Shoko Araki;Hiroshi Sawada;Ryo Mukai;Shoji Makino

  • First stereo audio source separation evaluation campaign: data, algorithms and results

    Emmanuel Vincent;Hiroshi Sawada;Pau Bofill;Shoji Makino

  • Polar coordinate based nonlinear function for frequency-domain blind source separation

    Hiroshi Sawada;Ryo Mukai;Shoko Araki;Shoji Makino

  • Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones

    Simon Doclo;Walter Kellermann;Shoji Makino;Sven Erik Nordholm

  • Exponentially weighted stepsize NLMS adaptive filter based on the statistics of a room impulse response

    S. Makino;Y. Kaneda;N. Koizumi

  • Common acoustical pole and zero modeling of room transfer functions

    Y. Haneda;S. Makino;Y. Kaneda

  • Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS

    H. Sawada;S. Araki;S. Makino

  • Map-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and l 1 -norm minimization

    Stefan Winter;Walter Kellermann;Hiroshi Sawada;Shoji Makino

  • Stereo projection echo canceller with true echo path estimation

    S. Shimauchi;S. Makino

  • Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • Frequency-Domain Blind Source Separation

    Shoji Makino;Hiroshi Sawada;Shoko Araki

  • Common-acoustical-pole and zero modeling of head-related transfer functions

    Y. Haneda;S. Makino;Y. Kaneda;N. Kitawaki

  • Method and apparatus for multi-channel acoustic echo cancellation

    Suehiro Shimauchi;Shoji Makino;Junji Kojima

  • Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters

    S.C. Douglas;H. Sawada;S. Makino

Frequent Co-Authors

Shoko Araki
Shoko Araki NTT (Japan)
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Hirokazu Kameoka
Hirokazu Kameoka NTT (Japan)
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Scott C. Douglas
Scott C. Douglas Southern Methodist University
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Sven Nordholm
Sven Nordholm Curtin University

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