Title :
Hrhatrac Algorithm for Spectral Line Tracking of Musical Signals
Author :
David, Bertrand ; Badeau, Roland ; Richard, Gael
Author_Institution :
Dept. TSI, Telecom Paris
Abstract :
HRHATRAC combines the last improvements regarding the fast subspace tracking algorithms with a gradient update for adapting the signal poles estimates. It leads to a line spectral tracker which is able to robustly estimate the frequencies, even in a noisy context, when the lines are close to each other and when a modulation occurs. HRHATRAC is also successfully applied in this paper to a piano note recording
Keywords :
acoustic signal processing; frequency estimation; harmonic analysis; music; spectral analysis; HRHATRAC algorithm; fast subspace tracking algorithms; gradient update; high resolution harmonics tracking; line spectral tracker; musical signals; piano note recording; robust frequency estimation; signal poles estimation; spectral line tracking; Acoustic noise; Additive noise; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Hidden Markov models; Matrix decomposition; Power harmonic filters; Robustness; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660586
