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 :
بازگشت