Sound ontology for computational auditory scene analysis

Tomohiro Nakatani*, Hiroshi G. Okuno


研究成果: Conference contribution

24 被引用数 (Scopus)


This paper proposes that sound ontology should be both as a common vocabulary for sound representation and as a common terminology for integrating various sound stream segregation systems. Since research on computational auditory scene analysis (CASA) focuses on recognizing and understanding various kinds of sounds, sound stream segregation which extracts each sound stream from a mixture of sounds is essential for CASA. Even if sound stream segregation systems use a harmonic structure of sound as a cue of segregation, it is not easy to integrate such systems because the definition of a harmonic structure differs or the precision of extracted harmonic structures differs. Therefore, sound ontology is needed as a common knowledge representation of sounds. Another problem is to interface sound stream segregation systems with applications such as automatic speech recognition systems. Since the requirement of the quality of segregated sound streams depends on applications, sound stream segregation systems must provide a flexible interface. Therefore, sound ontology is needed to fulfill the requirements imposed by them. In addition, the hierarchical structure of sound ontology provides a means of controlling top-down and bottom-up processing of sound stream segregation.

ホスト出版物のタイトルProceedings of the National Conference on Artificial Intelligence
編集者 Anon
Place of PublicationMenlo Park, CA, United States
出版ステータスPublished - 1998
イベントProceedings of the 1998 15th National Conference on Artificial Intelligence, AAAI - Madison, WI, USA
継続期間: 1998 7月 261998 7月 30


OtherProceedings of the 1998 15th National Conference on Artificial Intelligence, AAAI
CityMadison, WI, USA

ASJC Scopus subject areas

  • ソフトウェア


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