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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
12569
World Ranking
4299
National Ranking
42

Research.com Recognitions

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

Overview

Masataka Goto is affiliated with the National Institute of Advanced Industrial Science and Technology in Japan. Their research spans the fields of Computer Science, with a particular focus on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, and Music.

Their main topics of work include Music and Audio Processing, Music Technology and Sound Studies, Speech and Audio Processing, Video Analysis and Summarization, Speech Recognition and Synthesis, Neuroscience and Music Perception, and Natural Language Processing Techniques.

They have contributed to numerous publications across various venues. Frequent publication venues include IEICE Transactions on Information and Systems, arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE/ACM Transactions on Audio Speech and Language Processing, and Transactions of the International Society for Music Information Retrieval.

Among their recent papers are:

  • Sequential gallery for interactive visual design optimization, 2020, ACM Transactions on Graphics
  • Intelligent User Interfaces for Music Discovery, 2020, Transactions of the International Society for Music Information Retrieval
  • Audio-to-score singing transcription based on a CRNN-HSMM hybrid model, 2021, APSIPA Transactions on Signal and Information Processing
  • Self-Supervised Contrastive Learning for Singing Voices, 2022, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Deep Learning Approaches in Topics of Singing Information Processing, 2022, IEEE/ACM Transactions on Audio Speech and Language Processing

Masataka Goto has collaborated extensively with other researchers, including Masahiro Hamasaki, Kosetsu Tsukuda, Yuki Koyama, Tomoyasu Nakano, and Satoru Fukayama.

In addition to journal articles, they have contributed to book publications, including a title published by the European Organization for Nuclear Research: Proceedings of the 23nd International Society for Music Information Retrieval Conference, 2022.

Best Publications

  • Content-Based Music Information Retrieval: Current Directions and Future Challenges

    M.A. Casey;R. Veltkamp;M. Goto;M. Leman

  • RWC Music Database: Popular, Classical, and Jazz Music Databases

    Masataka Goto;Hiroki Hashiguchi;Takuichi Nishimura;Ryuichi Oka

  • RWC Music Database: Music Genre Database and Musical Instrument Sound Database

    Masataka Goto;Hiroki Hashiguchi;Takuichi Nishimura;Ryuichi Oka

  • An Audio-based Real-time Beat Tracking System for Music With or Without Drum-sounds

    Masataka Goto

  • A real-time music-scene-description system: predominant-F0 estimation for detecting melody and bass lines in real-world audio signals

    Masataka Goto

  • Speech recognition system and speech recognition system program

    Jun Ogata;Masataka Goto

  • Development of the RWC Music Database

    Masataka Goto

  • A chorus section detection method for musical audio signals and its application to a music listening station

    M. Goto

  • A chorus-section detecting method for musical audio signals

    M. Goto

  • An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model

    K. Yoshii;M. Goto;K. Komatani;T. Ogata

  • Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences

    Kazuyoshi Yoshii;Masataka Goto;Kazunori Komatani;Tetsuya Ogata

  • A beat tracking system for acoustic signals of music

    M. Goto;Y. Muraoka

  • AIST Annotation for the RWC Music Database.

    Masataka Goto

  • Real-time beat tracking for drumless audio signals: chord change detection for musical decisions

    Masataka Goto;Yoichi Muraoka

  • A real-time filled pause detection system for spontaneous speech recognition.

    Masataka Goto;Katunobu Itou;Satoru Hayamizu

  • A predominant-F/sub 0/ estimation method for CD recordings: MAP estimation using EM algorithm for adaptive tone models

    M. Goto

  • A robust predominant-F0 estimation method for real-time detection of melody and bass lines in CD recordings

    M. Goto

  • An Automatic Singing Skill Evaluation Method for Unknown Melodies Using Pitch Interval Accuracy and Vibrato Features

    Tomoyasu Nakano;Masataka Goto;Yuzuru Hiraga

  • Real-time sound source localization and separation system and its application to automatic speech recognition

    Futoshi Asano;Masataka Goto;Katunobu Itou;Hideki Asoh

  • Speech-to-Singing Synthesis: Converting Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices

    Takeshi Saitou;Masataka Goto;Masashi Unoki;Masato Akagi

  • Beat tracking based on multiple-agent architecture-A real-time beat tracking system for audio signals

    M. Goto

  • Content-Based Music Information Retrieval: Current Directions and Future Challenges Current retrieval systems can handle tens-of-thousands of music tracks but new systems need to aim at huge online music collections that contain tens-of-millions of tracks.

    Michael A. Casey;Remco Veltkamp;Masataka Goto;Marc Leman

Frequent Co-Authors

Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University
Tetsuya Ogata
Tetsuya Ogata Waseda University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Tomoki Toda
Tomoki Toda Nagoya University
Takeo Igarashi
Takeo Igarashi University of Tokyo
Graham Neubig
Graham Neubig Carnegie Mellon University
Sakriani Sakti
Sakriani Sakti Nara Institute of Science and Technology
Kazuya Takeda
Kazuya Takeda Nagoya University
Malcolm Slaney
Malcolm Slaney Stanford University
Ryota Tomioka
Ryota Tomioka Microsoft (United States)

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