Bayesian harmonic models for musical pitch estimation and analysis

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2002, Pages

  Godsill, Simon ^a   Davy, Manuel ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FEATURE EXTRACTION; HARMONIC ANALYSIS; MATHEMATICAL MODELS; PROBABILITY; SIGNAL FILTERING AND PREDICTION; WHITE NOISE;

BAYESIAN HARMONIC MODEL; MUSICAL PITCH ESTIMATION;

ACOUSTIC SIGNAL PROCESSING;

EID: 17344378590     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5744965     Document Type: Conference Paper

References (11)

1. Fundamental frequency estimation of musical signals using a two-way mismath procedure
2. Pitch estimation using multiple independent time-frequency windows
3. A high resolution fundamental frequency determination based on phase changes in the fourier transform
4. Multidimensional optimisation of harmonic signals
5. Polyphonic pitch tracking using joint bayesian estimation of multiple frame parameters
6. Robust noise reduction for speech and audio signals
7. Joint bayesian detection and estimation of noisy sinusoids via reversible jump MCMC
8. Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler
9. Classification of chirp signals using hierarchical bayesian learning and mcmc methods
10. Detection of abrupt spectral changes using support vector machines. An application to audio signal segmentation