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. IV-305-IV-308-. 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|
|Depositing User:||Cron Job|
|Date Deposited:||15 Dec 2015 13:36|
|Last Modified:||13 Feb 2016 05:20|