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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415685