Kashino, K and Godsill, SJ (2004) Bayesian estimation of simultaneous musical notes based on frequency domain modelling. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 4. ISSN 1520-6149Full text not available from this repository.
This paper proposes a Bayesian method for polyphonic music description. The method first divides an input audio signal into a series of sections called snapshots, and then estimates parameters such as fundamental frequencies and amplitudes of the notes contained in each snapshot. The parameter estimation process is based on a frequency domain modelling and Gibbs sampling. Experimental results obtained from audio signals of test note patterns are encouraging; the accuracy is better than 80% for the estimation of fundamental frequencies in terms of semitones and instrument names when the number of simultaneous notes is two.
|Divisions:||Div F > Signal Processing and Communications|
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|Date Deposited:||02 Sep 2016 17:04|
|Last Modified:||24 Oct 2016 00:32|