World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6518
World Ranking
9765
National Ranking
146

Overview

Nobutaka Ono is affiliated with Tokyo Metropolitan University in Japan and has a substantial body of research primarily in the fields of computer science and engineering. Their work focuses on signal processing, with a particular emphasis on speech and audio processing.

The main areas of study covered in Nobutaka Ono's publications include:

  • Computer Science
  • Engineering

Subfields of study include:

  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience

Key topics addressed in their research involve:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Blind Source Separation Techniques
  • Speech Recognition and Synthesis
  • Autism Spectrum Disorder Research
  • Sparse and Compressive Sensing Techniques

Nobutaka Ono has contributed to various publication venues, frequently appearing in:

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

Recent papers authored or coauthored by Nobutaka Ono include:

  • "Effect of a novel nasal oxytocin spray with enhanced bioavailability on autism: a randomized trial," 2021, Brain
  • "Time-Frequency-Bin-Wise Linear Combination of Beamformers for Distortionless Signal Enhancement," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering," 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • "End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation," 2023, 2022 IEEE Spoken Language Technology Workshop (SLT)
  • "MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction," 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Nobutaka Ono are:

  • Kouei Yamaoka
  • Yoshiki Masuyama
  • Yukoh Wakabayashi
  • Yuma Kinoshita
  • Taishi Nakashima

Best Publications

  • Stable and fast update rules for independent vector analysis based on auxiliary function technique

    Nobutaka Ono

  • Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization

    Daichi Kitamura;Nobutaka Ono;Hiroshi Sawada;Hirokazu Kameoka

  • The 2016 Signal Separation Evaluation Campaign

    Antoine Liutkus;Fabian-Robert Stöter;Zafar Rafii;Daichi Kitamura

  • Complex NMF: A new sparse representation for acoustic signals

    Hirokazu Kameoka;Nobutaka Ono;Kunio Kashino;Shigeki Sagayama

  • Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram

    Nobutaka Ono;Kenichi Miyamoto;Jonathan Le Roux;Hirokazu Kameoka

  • Convergence-guaranteed multiplicative algorithms for nonnegative matrix factorization with β-divergence

    Masahiro Nakano;Hirokazu Kameoka;Jonathan Le Roux;Yu Kitano

  • Multipitch Analysis with Harmonic Nonnegative Matrix Approximation.

    Stanislaw Andrzej Raczynski;Nobutaka Ono;Shigeki Sagayama

  • Blind alignment of asynchronously recorded signals for distributed microphone array

    Nobutaka Ono;Hitoshi Kohno;Nobutaka Ito;Shigeki Sagayama

  • A REAL-TIME EQUALIZER OF HARMONIC AND PERCUSSIVE COMPONENTS IN MUSIC SIGNALS

    Nobutaka Ono;Kenichi Miyamoto;Hirokazu Kameoka;Shigeki Sagayama

  • A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF

    Hiroshi Sawada;Nobutaka Ono;Hirokazu Kameoka;Daichi Kitamura

  • Auxiliary-function-based independent component analysis for super-Gaussian sources

    Nobutaka Ono;Shigeki Miyabe

  • Fast signal reconstruction from magnitude STFT spectrogram based on spectrogram consistency

    Jonathan Le Roux;Hirokazu Kameoka;Nobutaka Ono;Shigeki Sagayama

  • HMM-based approach for automatic chord detection using refined acoustic features

    Yushi Ueda;Yuki Uchiyama;Takuya Nishimoto;Nobutaka Ono

  • Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction.

    Jonathan Le Roux;Nobutaka Ono;Shigeki Sagayama

  • The 2015 Signal Separation Evaluation Campaign

    Nobutaka Ono;Zafar Rafii;Daichi Kitamura;Nobutaka Ito

  • Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment

    Yosuke Izumi;Nobutaka Ono;Shigeki Sagayama

  • The 2013 Signal Separation Evaluation Campaign

    Nobutaka Ono;Zbynek Koldovsky;Shigeki Miyabe;Nobutaka Ito

  • Melody line estimation in homophonic music audio signals based on temporal-variability of melodic source

    Hideyuki Tachibana;Takuma Ono;Nobutaka Ono;Shigeki Sagayama

  • Voice liveness detection algorithms based on pop noise caused by human breath for automatic speaker verification

    Sayaka Shiota;Fernando Villavicencio;Junichi Yamagishi;Nobutaka Ono

  • Deeply Learned Filter Response Functions for Hyperspectral Reconstruction

    Shijie Nie;Lin Gu;Yinqiang Zheng;Antony Lam

  • Determined Blind Source Separation with Independent Low-Rank Matrix Analysis

    Daichi Kitamura;Nobutaka Ono;Hiroshi Sawada;Hirokazu Kameoka

Frequent Co-Authors

Shigeki Sagayama
Shigeki Sagayama University of Tokyo
Hirokazu Kameoka
Hirokazu Kameoka NTT (Japan)
Shoji Makino
Shoji Makino Waseda University
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Shoko Araki
Shoko Araki NTT (Japan)

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