DocumentCode
3604984
Title
Real-Time Piano Music Transcription Based on Computer Vision
Author
Akbari, Mohammad ; Cheng, Howard
Author_Institution
Dept. of Math. & Comput. Sci., Univ. of Lethbridge, Lethbridge, AB, Canada
Volume
17
Issue
12
fYear
2015
Firstpage
2113
Lastpage
2121
Abstract
One important problem in musical information retrieval is automatic music transcription, which is an automated conversion process from played music to a symbolic notation such as MIDI file. Since the accuracy of previous audio-based transcription systems is not satisfactory, we propose an innovative computer vision-based automatic music transcription system named claVision to perform piano music transcription. Instead of processing the music audio, the system performs the transcription only from the video performance captured by a camera mounted over the piano keyboard. In this paper, we describe the architecture and the algorithms used in claVision. The claVision system has a high accuracy ( F1 score over 0.95) and a very low latency (about 7.0 ms) in real-time music transcription, even under different illumination conditions. This technology can also be used for other musical keyboard instruments.
Keywords
audio signal processing; computer vision; information retrieval; music; real-time systems; video signal processing; MIDI file; audio-based transcription systems; automatic music transcription; computer vision; musical information retrieval; real-time piano music transcription; video performance; Accuracy; Algorithm design and analysis; Cameras; Computer vision; Keyboards; Music; Music information retrieval; Real-time systems; Automatic music transcription; claVision; computer vision; multipitch estimation; piano;
fLanguage
English
Journal_Title
Multimedia, IEEE Transactions on
Publisher
ieee
ISSN
1520-9210
Type
jour
DOI
10.1109/TMM.2015.2473702
Filename
7225173
Link To Document