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Báo cáo sinh học: " Research Article Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2010 Article ID 523791 15 pages doi 10.1155 2010 523791 Research Article Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals Jayme Garcia Arnal Barbedo1 and George Tzanetakis2 1 Department of Communications FEEC UNICAMP C.P 6101 CEP 13.083-852 Campinas SP Brazil 2 Department of Computer Science University of Victoria Columbia Canada V8W 3P6 Correspondence should be addressed to Jayme Garcia Arnal Barbedo jbarbedo@gmail.com Received 12 January 2010 Revised 29 April 2010 Accepted 5 July 2010 Academic Editor Mark Sandler Copyright 2010 J. G. A. Barbedo and G. Tzanetakis. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper presents a method for estimating the amplitude of coincident partials generated by harmonic musical sources instruments and vocals . It was developed as an alternative to the commonly used interpolation approach which has several limitations in terms of performance and applicability. The strategy is based on the following observations a the parameters of partials vary with time b such a variation tends to be correlated when the partials belong to the same source c the presence of an interfering coincident partial reduces the correlation and d such a reduction is proportional to the relative amplitude of the interfering partial. Besides the improved accuracy the proposed technique has other advantages over its predecessors it works properly even if the sources have the same fundamental frequency it is able to estimate the first partial fundamental which is not possible using the conventional interpolation method it can estimate the amplitude of a given partial even if its neighbors suffer intense interference from other sources it works properly under noisy