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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
11910
World Ranking
5805
National Ranking
76

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award
  • 2016 - IEEE Fellow For contributions to speech recognition and speech-to-speech translation

Overview

Satoshi Nakamura is affiliated with the Nara Institute of Science and Technology in Japan. Their work focuses primarily on computer science, with a strong emphasis on artificial intelligence and its applications.

Their research covers various subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Social Psychology
  • Cognitive Neuroscience

Key topics in their research include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and Dialogue Systems
  • Multimodal Machine Learning Applications
  • Digital Mental Health Interventions
  • Speech and Audio Processing

Satoshi Nakamura has contributed significant work across multiple venues, frequently publishing in:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • IEEE Access
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEICE Transactions on Information and Systems

Recent published papers include:

  • "ReMOT: A model-agnostic refinement for multiple object tracking," 2020, Image and Vision Computing
  • "USB: A Unified Semi-supervised Learning Benchmark for Classification," 2022, arXiv (Cornell University)
  • "End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled Sketch-to-Photo Retrieval," 2020, IEEE Transactions on Multimedia
  • "Machine Speech Chain," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Nakamura frequently collaborates with other researchers, including:

  • Katsuhito Sudoh
  • Sakriani Sakti
  • Hiroki Tanaka
  • Koichiro Yoshino
  • Andros Tjandra

They have also contributed to book publications, notably:

  • Conversational Dialogue Systems for the Next Decade, published by Springer Science+Business Media in 2020

Nakamura's work has been recognized with distinctions including the IEEE Fellow award in 2016, which acknowledged contributions to speech recognition and speech-to-speech translation technologies.

Best Publications

  • 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

  • Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition

    Satoshi Nakamura;Kazuo Hiyane;Futoshi Asano;Takanobu Nishiura

  • Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

    Yusuke Oda;Hiroyuki Fudaba;Graham Neubig;Hideaki Hata

  • Incorporating Discrete Translation Lexicons into Neural Machine Translation

    Philip Arthur;Graham Neubig;Graham Neubig;Satoshi Nakamura

  • The ATR Multilingual Speech-to-Speech Translation System

    S. Nakamura;K. Markov;H. Nakaiwa;G. Kikui

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Yang Wu;Sakriani Sakti;Satoshi Nakamura

  • Listening while speaking: Speech chain by deep learning

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Lip movement synthesis from speech based on hidden Markov models

    E. Yamamoto;S. Nakamura;K. Shikano

  • Speech enhancement based on the subspace method

    F. Asano;S. Hayamizu;T. Yamada;S. Nakamura

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

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

  • Guiding Neural Machine Translation with Retrieved Translation Pieces

    Jingyi Zhang;Masao Utiyama;Eiichiro Sumita;Graham Neubig

  • Detecting Dementia Through Interactive Computer Avatars

    Hiroki Tanaka;Hiroyoshi Adachi;Norimichi Ukita;Manabu Ikeda

  • Compressing recurrent neural network with tensor train

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Postfilters to modify the modulation spectrum for statistical parametric speech synthesis

    Shinnosuke Takamichi;Tomoki Toda;Alan W. Black;Graham Neubig

  • AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition

    Satoshi Nakamura;Kazuya Takeda;Kazumasa Yamamoto;Takeshi Yamada

  • Automatic pronunciation scoring of words and sentences independent from the non-native's first language

    Tobias Cincarek;Rainer Gruhn;Christian Hacker;Elmar Nöth

  • Statistical Singing Voice Conversion with Direct Waveform Modification based on the Spectrum Differential

    Kazuhiro Kobayashi;Tomoki Toda;Graham Neubig;Sakriani Sakti

  • ReMOT: A model-agnostic refinement for multiple object tracking

    Fan Yang;Xin Chang;Sakriani Sakti;Yang Wu

  • Optimizing Segmentation Strategies for Simultaneous Speech Translation

    Yusuke Oda;Graham Neubig;Sakriani Sakti;Tomoki Toda

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Sakriani Sakti;Yang Wu;Satoshi Nakamura

Frequent Co-Authors

Sakriani Sakti
Sakriani Sakti Nara Institute of Science and Technology
Graham Neubig
Graham Neubig Carnegie Mellon University
Tomoki Toda
Tomoki Toda Nagoya University
Kiyohiro Shikano
Kiyohiro Shikano Nara Institute of Science and Technology
Katsumi Tanaka
Katsumi Tanaka Kyoto University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Kazuya Takeda
Kazuya Takeda Nagoya University
Wolfgang Minker
Wolfgang Minker University of Ulm
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University

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