Title :
Automatic transcription of piano polyphonic music
Author :
Kobzantsev, Alex ; Chazan, Dan ; Zeevi, Yehoshua
Author_Institution :
Dept. of Electr. Eng., Technion-IIT, Haifa, Israel
Abstract :
A novel algorithm for automatic transcription of piano polyphonic music is proposed. It is based on a processing scheme that incorporates the following subtasks: segmentation of notes in time domain, estimation of frequency components based on the structure of time segments, extraction of pitches of underlying notes, and tracking of notes to obtain the final music score. A combination of multiresolution techniques, such as multiresolution Fourier transform and maximum likelihood frequency estimator, enables the user to successfully cope with the problems of constant time-frequency resolution and frequency masking. The algorithm demonstrates a better performance then results obtained by means of existing commercial software.
Keywords :
Fourier transforms; acoustic signal processing; maximum likelihood estimation; musical instruments; signal resolution; time-frequency analysis; automatic transcription; frequency estimation; frequency masking; maximum likelihood frequency estimator; multiresolution Fourier transform; piano polyphonic music; signal segmentation; time-frequency resolution; Fourier transforms; Frequency estimation; Instruments; Iterative algorithms; Maximum likelihood estimation; Multiple signal classification; Signal processing algorithms; Signal resolution; Software algorithms; Time frequency analysis;
Conference_Titel :
Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on
Print_ISBN :
953-184-089-X
DOI :
10.1109/ISPA.2005.195447