Information Retrieval
Prediction-driven computational auditory scene analysis
Prediction-driven computational auditory scene analysis
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Signal Processing Methods for Music Transcription
Signal Processing Methods for Music Transcription
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Efficient approximations for the marginal likelihood of incomplete data given a Bayesian network
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A generative model for music transcription
IEEE Transactions on Audio, Speech, and Language Processing
Low Bit-Rate Object Coding of Musical Audio Using Bayesian Harmonic Models
IEEE Transactions on Audio, Speech, and Language Processing
Generative spectrogram factorization models for polyphonic piano transcription
IEEE Transactions on Audio, Speech, and Language Processing
Multiple fundamental frequency estimation by modeling spectral peaks and non-peak regions
IEEE Transactions on Audio, Speech, and Language Processing
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Harmonic sinusoidal models are an essential tool for music audio signal analysis. Bayesian harmonic models are particularly interesting, since they allow the joint exploitation of various priors on the model parameters. However existing inference methods often rely on specific prior distributions and remain computationally demanding for realistic data. In this article, we investigate a generic inference method based on approximate factorization of the joint posterior into a product of independent distributions on small subsets of parameters. We discuss the conditions under which this factorization holds true and propose two criteria to choose these subsets adaptively. We evaluate the resulting performance experimentally for the task of multiple pitch estimation using different levels of factorization.