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Combined Audio and Video Analysis for Guitar Chord Identification
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/3665
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| Title: | Combined Audio and Video Analysis for Guitar Chord Identification |
| Authors: | Hrybyk, Alex |
| Keywords: | guitar chords
video analysis
audio analysis
music |
| Issue Date: | 15-Apr-2010 |
| Series/Report no.: | Research Day Category: Physical Science and Engineering |
| Abstract: | This research presents a multi-modal approach to automatically identifying guitar chords using audio and video of the performer. Chord identification is for stringed instruments adds extra ambiguity as a single chord or melody may be played in different positions on the fretboard. Preserving this information is important, because it signifies the original fingering, and implied “easiest” way to perform the selection. This chord identification system combines analysis of audio to determine the general chord scale (i.e. A major, G minor), and video of the guitarist to determine chord voicing (i.e. open, barred, inversion), to accurately identify the guitar chord. |
| Description: | Student Author: Alex Hrybyk, College of Engineering, ECE; Adviser: Dr. Youngmoo Kim, College of Engineering, ECE |
| URI: | http://hdl.handle.net/1860/3665 |
| Appears in Collections: | Research Day Posters (COE)
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