Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Accurate Tempo Estimation Based on Harmonic + Noise Decomposition | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 82795 14 pages doi 2007 82795 Research Article Accurate Tempo Estimation Based on Harmonic Noise Decomposition Miguel Alonso Gael Richard and Bertrand David Telecom Paris Ecole Nationale Superieure des Telecommunications Groupe des Ecoles des Telecommunications GET 46 Rue Barrault 75634 Paris Cedex 13 France Received 2 December 2005 Revised 19 May 2006 Accepted 22 June 2006 Recommended by George Tzanetakis We present an innovative tempo estimation system that processes acoustic audio signals and does not use any high-level musical knowledge. Our proposal relies on a harmonic noise decomposition of the audio signal by means of a subspace analysis method. Then a technique to measure the degree of musical accentuation as a function of time is developed and separately applied to the harmonic and noise parts of the input signal. This is followed by a periodicity estimation block that calculates the salience of musical accents for a large number of potential periods. Next a multipath dynamic programming searches among all the potential periodicities for the most consistent prospects through time and finally the most energetic candidate is selected as tempo. Our proposal is validated using a manually annotated test-base containing 961 music signals from various musical genres. In addition the performance of the algorithm under different configurations is compared. The robustness of the algorithm when processing signals of degraded quality is also measured. Copyright 2007 Miguel Alonso et al. 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. 1. INTRODUCTION The continuously growing size of digital audio information increases the difficulty of its access and management thus hampering its practical .
