| Paper: | AE-P5.11 | ||
| Session: | Applications to Music II | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Applications to Music | ||
| Title: | BAYESIAN ESTIMATION OF SIMULTANEOUS MUSICAL NOTES BASED ON FREQUENCY DOMAIN MODELLING | ||
| Authors: | Kunio Kashino; NTT Communication Science Laboratories | ||
| Simon Godsill; University of Cambridge | |||
| Abstract: | 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 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. | ||
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