World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
16683
World Ranking
4463
National Ranking
48

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award
  • 2007 - IEEE Fellow For contributions to speech recognition, dialog systems, voice conversion, and acoustic field realization

Overview

Kiyohiro Shikano is affiliated with the Nara Institute of Science and Technology in Japan. Their work encompasses various aspects of speech processing and acoustic technologies.

In 2007, Kiyohiro Shikano was recognized as an IEEE Fellow for contributions to speech recognition, dialog systems, voice conversion, and acoustic field realization.

Best Publications

  • Phoneme recognition using time-delay neural networks

    Alexander Waibel;Toshiyuki Hanazawa;Geoffrey Hinton;Kiyohiro Shikano

  • Julius --- An Open Source Real-Time Large Vocabulary Recognition Engine

    Akinobu Lee;Tatsuya Kawahara;Kiyohiro Shikano

  • Voice conversion through vector quantization

    Masanobu Abe;Satoshi Nakamura;Kiyohiro Shikano;Hisao Kuwabara

  • Voice conversion through vector quantization

    M. Abe;S. Nakamura;K. Shikano;H. Kuwabara

  • ATR Japanese speech database as a tool of speech recognition and synthesis

    Akira Kurematsu;Kazuya Takeda;Yoshinori Sagisaka;Shigeru Katagiri

  • JNAS: Japanese speech corpus for large vocabulary continuous speech recognition research

    Katunobu Itou;Mikio Yamamoto;Kazuya Takeda;Toshiyuki Takezawa

  • Blind source separation combining independent component analysis and beamforming

    Hiroshi Saruwatari;Satoshi Kurita;Kazuya Takeda;Fumitada Itakura

  • Modularity and scaling in large phonemic neural networks

    A. Waibel;H. Sawai;K. Shikano

  • Speaker adaptation through vector quantization

    K. Shikano;Kai-Fu Lee;R. Reddy

  • Blind source separation based on a fast-convergence algorithm combining ICA and beamforming

    H. Saruwatari;T. Kawamura;T. Nishikawa;A. Lee

  • Phoneme recognition: neural networks vs. hidden Markov models vs. hidden Markov models

    A. Waibel;T. Hanazawa;G. Hinton;K. Shikano

  • Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech

    Keigo Nakamura;Tomoki Toda;Hiroshi Saruwatari;Kiyohiro Shikano

  • Voice conversion algorithm based on Gaussian mixture model with dynamic frequency warping of STRAIGHT spectrum

    T. Toda;H. Saruwatari;K. Shikano

  • Statistical Voice Conversion Techniques for Body-Conducted Unvoiced Speech Enhancement

    T. Toda;M. Nakagiri;K. Shikano

  • Consonant recognition by modular construction of large phonemic time-delay neural networks

    A. Waibel;H. Sawai;K. Shikano

  • Lip movement synthesis from speech based on hidden Markov models

    E. Yamamoto;S. Nakamura;K. Shikano

  • Free software toolkit for Japanese large vocabulary continuous speech recognition

    Tatsuya Kawahara;Akinobu Lee;Tetsunori Kobayashi;Kazuya Takeda

  • Blind Spatial Subtraction Array for Speech Enhancement in Noisy Environment

    Y. Takahashi;T. Takatani;K. Osako;H. Saruwatari

  • Localization of multiple sound sources based on a CSP analysis with a microphone array

    T. Nishiura;T. Yamada;S. Nakamura;K. Shikano

  • Eigenvoice Conversion Based on Gaussian Mixture Model

    Tomoki Toda;Yamato Ohtani;Kiyohiro Shikano

Frequent Co-Authors

Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Tomoki Toda
Tomoki Toda Nagoya University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Kazuya Takeda
Kazuya Takeda Nagoya University
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University
Alex Waibel
Alex Waibel Carnegie Mellon University
Nick Campbell
Nick Campbell Trinity College Dublin
Hideki Kawahara
Hideki Kawahara Wakayama University
Sadaoki Furui
Sadaoki Furui Toyota Institute of Technology
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto

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