Bayesian Pitch

Bayesian Graphical Models for Polyphonic Pitch Tracking

Bayesian graphical models are a very flexible tool for the modelling of musical signals. They allow for an hierarchical model structure which can be used to represent structure at many different levels, from low level signal structure in terms of sinusoids to high level musical structure. The Bayesian framework allows for the incorporation of a priori information into the model and also forms a...

Fast Bayesian Constrained Nmf for Polyphonic Pitch Transcription

This extended abstract presents a submission to the Music Information Retrieval Evaluation eXchange (MIREX) in the Multiple Fundamental Frequency Estimation & Tracking task. This submission is mainly based on our previous work on Nonnegative Matrix factorization (NMF) applied to music transcription. It relies on the harmonicity model we used in our previous participation in MIREX [1] and more r...

A Dynamical Bayesian Network for Tempo and Polyphonic Pitch Tracking

We present a model for simultaneous tempo and polyphonic pitch tracking. Both these acoustic analysis tasks are difficult and, arguably, no satisfactory solution currently exists for polyphonic pitch tracking. Our model, a form of Dynamical Bayesian Network, embodies a transparent and computationally tractable approach to this acoustic analysis problem. An advantage of our approach is that it p...

Automatic Speech Recognition using Pitch Information in Dynamic Bayesian Networks

Neural correlates of the pitch of complex tones. II. Pitch shift, pitch ambiguity, phase invariance, pitch circularity, rate pitch, and the dominance region for pitch.

1. The neural correlates of low pitches produced by complex tones were studied by analyzing temporal discharge patterns of auditory nerve fibers in Dial-anesthetized cats. In the previous paper it was observed that, for harmonic stimuli, the most frequent interspike interval present in the population of auditory nerve fibers always corresponded to the perceived pitch (predominant interval hypot...