{"type":"ScholarlyArticle","title":"A Music Stream Segregation System Based on Adaptive Multi-Agents","authors":[{"name":"Kunio Kashino","slug":"kunio-kashino","given":"Kunio","family":"Kashino","affiliation":""},{"name":"Hiroshi Murase","slug":"hiroshi-murase","given":"Hiroshi","family":"Murase","affiliation":""}],"abstract":"A principal problem of auditory scene analysis is stream segregation: decomposing an input acoustic signal into signals of individual sound sources included in the input. While existing signal processing algorithms cannot properly solve this inverse problem, a multiagent-based architecture has been considered to be a promising methodology in its modularity and scalability. However, most attempts made so far depend on subjectively defined rules to deal with variability of sounds. Here we propose a quantitatively principled architecture in agent interaction by formulating the problem as least-squares optimization. In this architecture, adaptation of the agents is the essential idea. We have developed two kinds of processing to realize adaptivity: template filtering and phase tracking. These mechanisms enable each agent to optimally, in the least-squares sense, track the individual sound. As an example application of the proposed architecture, we have built a music recognition system that recognizes instrument names and pitches of the notes included in ensemble music performances. Experimental results show that these adaptive mechanisms significantly improve the recognition accuracy.","doi":null,"url":"https://ijcai.org/proceedings/1997/163","pdf":"https://ijcai.org/proceedings/1997/0163.pdf","markdown":"https://ijcai.org/proceedings/1997/163.md","bibtex":"https://ijcai.org/proceedings/1997/bibtex/163","volume":{"slug":"1997","title":"Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1997","url":"https://ijcai.org/proceedings/1997/","year":1997,"location":"Nagoya, Japan","dates":"","editors":"Martha E. Pollack","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Neural Networks","track":"Neural Networks","number":163,"pages":{"first":1126,"last":1132},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}