World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10359
World Ranking
7107
National Ranking
3118

Takuya Yoshioka publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Takuya Yoshioka sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Takuya Yoshioka D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Takuya Yoshioka sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Takuya Yoshioka is affiliated with Microsoft in the United States and has a significant body of research in computer science, focusing on signal processing and artificial intelligence. Their work largely concentrates on speech recognition, synthesis, and audio processing technologies.

The scientist has published extensively with 209 works in the field of computer science. Key subfields of study include signal processing, artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, and computational mechanics.

Their main research topics cover a range of speech and audio-related areas:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Indoor and Outdoor Localization Technologies
  • Advanced Adaptive Filtering Techniques
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems

Yoshioka has contributed to multiple publications in notable venues, emphasizing peer-reviewed conferences and journals:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal of Selected Topics in Signal Processing

Frequent collaborators include researchers such as Naoyuki Kanda, Zhuo Chen, Jinyu Li, Şefik Emre Eskimez, and Zhong Meng, reflecting a broad network within speech and audio processing research communities.

Among recent publications are the following papers:

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing, 2022, IEEE Journal of Selected Topics in Signal Processing
  • Icassp 2022 Deep Noise Suppression Challenge, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings, 2020, arXiv (Cornell University)
  • Personalized speech enhancement: new models and Comprehensive evaluation, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation, 2022, Interspeech 2022

Best Publications

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation

    Yi Luo;Zhuo Chen;Takuya Yoshioka

  • Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction

    Tomohiro Nakatani;Takuya Yoshioka;Keisuke Kinoshita;Masato Miyoshi

  • The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech

    Keisuke Kinoshita;Marc Delcroix;Takuya Yoshioka;Tomohiro Nakatani

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition

    Takuya Yoshioka;A. Sehr;M. Delcroix;K. Kinoshita

  • CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings

    Shinji Watanabe;Michael Mandel;Jon Barker;Emmanuel Vincent

  • Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening

    T. Yoshioka;T. Nakatani

  • The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices

    Takuya Yoshioka;Nobutaka Ito;Marc Delcroix;Atsunori Ogawa

  • Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise

    Takuya Higuchi;Nobutaka Ito;Takuya Yoshioka;Tomohiro Nakatani

  • Continuous Speech Separation: Dataset and Analysis

    Zhuo Chen;Takuya Yoshioka;Liang Lu;Tianyan Zhou

  • Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization

    Takuya Yoshioka;Tomohiro Nakatani;Masato Miyoshi;Hiroshi G Okuno

  • End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation

    Yi Luo;Zhuo Chen;Nima Mesgarani;Takuya Yoshioka

  • Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation

    T. Nakatani;T. Yoshioka;K. Kinoshita;M. Miyoshi

  • Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network

    Zhuo Chen;Xiong Xiao;Takuya Yoshioka;Hakan Erdogan

  • Multi-Microphone Neural Speech Separation for Far-Field Multi-Talker Speech Recognition

    Takuya Yoshioka;Hakan Erdogan;Zhuo Chen;Fil Alleva

  • Continuous Speech Separation with Conformer

    Sanyuan Chen;Yu Wu;Zhuo Chen;Jian Wu

  • Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR

    Takuya Higuchi;Nobutaka Ito;Shoko Araki;Takuya Yoshioka

  • Low-Latency Real-Time Meeting Recognition and Understanding Using Distant Microphones and Omni-Directional Camera

    T. Hori;S. Araki;T. Yoshioka;M. Fujimoto

  • Integrated Speech Enhancement Method Using Noise Suppression and Dereverberation

    T. Yoshioka;T. Nakatani;M. Miyoshi

  • Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms

    Hirokazu Kameoka;Tomohiro Nakatani;Takuya Yoshioka

Frequent Co-Authors

Naoyuki Kanda
Naoyuki Kanda Hitachi (Japan)
Marc Delcroix
Marc Delcroix NTT (Japan)
Jinyu Li
Jinyu Li Microsoft (United States)
Shoko Araki
Shoko Araki NTT (Japan)
Hakan Erdogan
Hakan Erdogan Google (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Yu Wu
Yu Wu Microsoft Research Asia (China)

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