Goto's Work Annotated Bibliography

Masataka Goto Work Overview Annotated Bibliography

Goto, M. 2001. An audio-based real-time beat tracking system for music with or without drum-sounds. Journal of New Music Research. 30(2):159–71.

This paper describes a real-time beat tracking system that recognizes beat structures in real-world audio signals sampled from popular-music compact discs. The method achieved results of successful beat detection for 43 out of total 45 selected popular songs.

Goto, M. 2004. A real-time music-scene-description system: Predominant-F0 estimation for detecting melody and bass lines in real-world audio signals. Speech Communication. 43(4):311–29.

Mr. Goto described the concept of music scene description and addressed the problem of detecting melody and bass lines in real-world complex audio signals. An approach of predominant-F0 estimation was overviewed, which led to a good result in terms of the average detection rate of 88.4% for the melody and 79.9% for the bass line.

Goto, M., K. Kitayama, K. Itou, and T. Kobayashi. 2004. Speech Spotter: On-demand speech recognition in human-human conversation on the telephone or in face-to-face situations. Proceedings of the 8th International Conference on Spoken Language Processing.

This paper describes SpeechSpotter, a novel speech interface function that allows a user to enter voice commands into a speech recognizer in the midst of a human-human conversation.

Goto, M., R. Neyama, and Y. Muraoka. 1999. Musical information processing based on remote music control protocol. Transactions of Information Processing Society of Japan. 1335–45.

The paper is about the RMCP protocol and the distributed music performance system that the authors developed, as one of the bases of the later virtual Jazz session system.

Goto, M. 2003. SmartMusicKIOSK: Music listening station with chorus-search function. Proceedings of the 16th annual ACM Sym posium on User Interface Software and Technology. 31–40.

This paper introduced the world's first intelligent jumping-to-chorus trial listening system.

Goto, M., I. Hidaka, and H. Matsumoto. 1999. A virtual jazz session system: VirJa session. Transactions of Information Processing Society of Japan. 1910–21.

A virtual jazz session system built on top of the interactive CG dancer and RMCP protocol is introduced in this paper.

Goto, M. 2003. A chorus-section detecting method for musical audio signals. International Conference on Acoustics, Speech, and Signal Processing. 437–40.

This paper describes RefraiD, a method that analyzes relationships between repeated sections in popular music songs to detect all chorus sections. The method gives solution to typical problems founded in looking for repeated sections. Experimental results shows 80% of correct analysis of chorus sections.

Goto, M. 1999. F0 estimation of melody and bass lines in real-world musical audio signals. Information Processing Society of Japan.

This paper was the first one of Mr. Goto in the research area of F0 estimation of melody and bass lines. It is written in japanese.

Goto, M. 2002. A real-time music scene description system: a chorus-section detecting method. Information Processing Society of Japan. 27–34.

This paper was the first one of Mr. Goto in the research area of chorus-section detection. It is written in japanese.

Goto, M., and Y. Muraoka. 1994. A beat tracking system for acoustic signals of music. Proceedings of the 48th Annual Convention IPS.

This paper was the first one of Mr. Goto in the research area of beat tracking detection. It was originally written in japanese.

Goto, M. 1992. A distributed cooperative system for the MIDI control. Proceedings of the 10th Anniversary International UNIX Symposium. 161–71.

This paper presents a distributed cooperative system, which integrates MIDI and LAN, allowing users to play an ensemble with computer support.

Goto, M. and Y. Muraoka. 1995. Interactive performance of a music-danced CG dancer. Proceedings of the Workshop on Interactive Systems and Softwares. 9–18.

This paper presents a system to enhance communication and performance of improvising performers via motion control of a CG character.

Goto, M., T. Nishimura, H. Hashiguchi, and R. Oka. 2002. RWC music database: popular, classical, and jazz music databases. Proceedings of 3rd International Conference on Music Information Retrieval. 287–8.

This paper establishes RWC, Real World Computing database, the world's first large scale copyright-cleared database compiled entirely for research purposes.

Goto, M. 2006. AIST Annotation for the RWC Music Database. Proceedings of the 7th International Conference on Music Information Retrieval. 359–60.

This paper gives an overview on manual annotations done to the audio tracks of the RWC database

Hidaka, I., M. Goto, and Y. Muraoka. 1996. A jazz session system for interplay among all players II. Implementation of a bassist and a drummer. Information Processing Society of Japan.

This paper presents a jazz trio session system where each player is independent and can interplay with other players, providing auditory and visual feedback of every musician.

Ogata, O., M. Goto, and K. Eto. 2007. Automatic transcription for a Web 2.0 service to search podcasts. Proceedings of the 8th Annual Conference of the International Speech Communication Association. 2617–20.

This paper describes techniques on speech recognition that enable PodCastle, an application to search text strings in podcasts.

Pampalk, E., and M. Goto. 2007. MusicSun: a new approach to artist recommendation. Proceedings of the ISMIR International Conference on Music Information Retrieval. 101–104.

This paper gives an overview on MusicSun, a graphical user interface to discover artists. Similarity is calculated by audio-based similarity, web-based similarity, and word-based similarity. The users can weight each one these categories.

Pampalk, E., and M. Goto. 2006. MusicRainbow: a new user interface to discover artists using audio-based similarity and web-based labeling. Proceedings of the ISMIR International Conference on Music Information Retrieval.

This work shows MusicRainbow, a new music hardware interface for discovering similar artist based on audio-based approach and semantic information extracted from the web.

Dr. Masataka Goto’s Home Page. http://staﬀ.aist.go.jp/m.goto/ (accessed November 4, 2009)

The home page of Dr. Masataka Goto provides complete information of his works, research projects and publications in English and Japanese. For each project, there is supplementary audiovisual material. Only Japanese version is available for most of his papers except his main publications in Music Information Retrieval and Music Understanding.