Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14306
Title: Music content analysis: Key, chord and rhythm tracking in acoustic signals
Authors: ARUN KOTA SHENOY
Keywords: music content analysis, beat, measure, rhythm, key, chord
Issue Date: 1-Nov-2004
Source: ARUN KOTA SHENOY (2004-11-01). Music content analysis: Key, chord and rhythm tracking in acoustic signals. ScholarBank@NUS Repository.
Abstract: We propose a music content analysis framework to determine the musical key, chords and the hierarchical rhythm structure in musical audio signals. Our rule-based approach uses a combination of top down and bottom up approaches - combining the strength of higher level musical knowledge and low level audio features. To the best of our knowledge, this is the first attempt to extract all of these three important expressive dimensions of music from real world musical recordings, carefully selected for their variety in artist and time spans. Experimental results illustrate accurate key and rhythm structure determination for 28 out of 30 songs tested with an average chord recognition accuracy of around 80%. We do a detailed evaluation of the test results and highlight the limitations of the system. We also demonstrate the applicability of this approach to other aspects of music content analysis and outline steps for further development.
URI: http://scholarbank.nus.edu.sg/handle/10635/14306
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
HT027154N-Arun Shenoy Kota-MSc Thesis-Computer Sc-2004.pdf314.74 kBAdobe PDF

OPEN

NoneView/Download

Page view(s)

238
checked on Jan 19, 2018

Download(s)

191
checked on Jan 19, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.