PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Multiple Fundamental Frequency estimation using Gaussian smoothness
Pertusa Antonio and José Iñesta
In: Proc. of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP 2008 (2008) IEEE Press , USA , pp. 105-108. ISBN 1-4244-1484-9

Abstract

The goal of a polyphonic music transcription system is to extract a score from an audio signal. A multiple fundamental frequency estimator is the main piece of these systems, whereas tempo detection and key estimation complement them to correctly extract the score. In this work, in order to detect the fundamental frequencies that are present in a signal, a set of candidates are selected from the spectrum, and all their possible combinations are generated. The best combination is chosen in a frame by frame analysis by applying a set of rules, taking into account the harmonic amplitudes and the spectral smoothness measure described in this work. The system was evaluated and compared to other works, yielding competitive results and performance.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Speech
ID Code:5301
Deposited By:José Iñesta
Deposited On:24 March 2009