Presentation 1997/2/21
Sound Source Identification Using Adaptive Template Mixtures : Formulation and Application to Music Stream Segregation
Kunio Kashino, Hiroshi Murase,
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Abstract(in English) Sound source identification is an essential problem in auditory scene analysis when multiple acoustical objects are simultaneously present in the scene. However, little work has been done on sound source identificaiton for a multiple-source environment. Here we propose a novel method for sound source identification. The key idea is adaptation of templates, which has permitted to cope with variation of sounds. As an example application of the proposed method, 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 the proposed adaptive mechanisms significantly improve the accuracy of sound source identification in comparison to a conventional matched-filter-based method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) auditory scene analysis, sound source identification, sound source separation, music scene analysis, automatic music transcription, matched filter
Paper # SP96-117
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Committee SP
Conference Date 1997/2/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sound Source Identification Using Adaptive Template Mixtures : Formulation and Application to Music Stream Segregation
Sub Title (in English)
Keyword(1) auditory scene analysis, sound source identification, sound source separation, music scene analysis, automatic music transcription, matched filter
1st Author's Name Kunio Kashino
1st Author's Affiliation NTT Basic Research Laboratories()
2nd Author's Name Hiroshi Murase
2nd Author's Affiliation NTT Basic Research Laboratories
Date 1997/2/21
Paper # SP96-117
Volume (vol) vol.96
Number (no) 540
Page pp.pp.-
#Pages 6
Date of Issue