DocumentCode
431650
Title
Music transcription using an instrument model
Author
Yin, Jun ; Sim, Terence ; Wang, Ye ; Shenoy, Arun
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore
Volume
3
fYear
2005
fDate
18-23 March 2005
Abstract
We introduce a method to transcribe music with the help of an instrument model. One of the most important and difficult problems in music transcription is polyphonic pitch estimation. Common pitch estimation algorithms reported in the literature tend to have errors in the following three situations: missing fundamental; missing harmonics; shared frequencies. We believe an instrument model can make pitch estimation more robust in these three situations and thus can help to improve music transcription accuracy. We devise a spectrum subtraction algorithm to transcribe single and multiple instrument polyphonic music.
Keywords
acoustic signal processing; audio signal processing; music; parameter estimation; spectral analysis; MIDI; acoustic musical signals; instrument model; missing fundamental; missing harmonics; musical score; polyphonic music transcription; polyphonic pitch estimation; shared frequencies; spectrum subtraction algorithm; Auditory displays; Frequency estimation; Instruments; Iterative algorithms; Monitoring; Multiple signal classification; Music; Robustness; Smoothing methods; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415685
Filename
1415685
Link To Document