NDLI: Musical Instrument Recognizer "Instrogram" and Its Application to Music Retrieval Based on Instrumentation Similarity

Content Provider	IEEE Xplore Digital Library
Author	Kitahara, T. Goto, M. Komatani, K. Ogata, T. Okuno, H.G.
Copyright Year	2006
Description	Author affiliation: Dept. of Intelligence Sci. & Technol., Kyoto Univ. (Kitahara, T.)
Abstract	Instrumentation is an important cue in retrieving musical content. Conventional methods for instrument recognition performing notewise require accurate estimation of the onset time and fundamental frequency (FO) for each note, which is not easy in polyphonic music. This paper presents a non-notewise method for instrument recognition in polyphonic musical audio signals. Instead of such note-wise estimation, our method calculates the temporal trajectory of instrument existence probabilities for every FO and visualizes it as a spectrogram-like graphical representation, called an instrogram. This method can avoid the influence by errors of onset detection and FO estimation because it does not use them. We also present methods for MPEG-7-based instrument annotation and music information retrieval based on the similarity between instrograms. Experimental results with realistic music show the average accuracy of 76.2% for the instrument annotation and that the instrogram-based similarity measure represents the actual instrumentation similarity better than an MFCC-based one
Starting Page	265
Ending Page	274
File Size	596080
Page Count	10
File Format	PDF
ISBN	0769527469
DOI	10.1109/ISM.2006.113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Music information retrieval Frequency estimation Probability MPEG 7 Standard Content based retrieval Informatics Visualization Computer networks Image analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Okuno: “Musical Instrument Recognizer “Instrogram” and Its Application to Music Retrieval based on (2006)

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Musical Instrument Recognizer "Instrogram" and Its Application to Music Retrieval Based on Instrumentation Similarity

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Okuno: “Musical Instrument Recognizer “Instrogram” and Its Application to Music Retrieval based on (2006)

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Musical Instrument Recognizer "Instrogram" and Its Application to Music Retrieval Based on Instrumentation Similarity