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Báo cáo hóa học: " Research Article Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection"

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 Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2008 Article ID 846135 12 pages doi 10.1155 2008 846135 Research Article Tango or Waltz Putting Ballroom Dance Style into Tempo Detection Bjorn Schuller Florian Eyben and Gerhard Rigoll Institute for Human-Machine Communication Technische Universitat Munchen Arcisstrafe 21 80333 Munchen Germany Correspondence should be addressed to Bjorn Schuller schuller@tum.de Received 31 October 2007 Revised 14 February 2008 Accepted 14 March 2008 Recommended by Sen Kuo Rhythmic information plays an important role in Music Information Retrieval. Example applications include automatically annotating large databases by genre meter ballroom dance style or tempo fully automated D.J.-ing and audio segmentation for further retrieval tasks such as automatic chord labeling. In this article we therefore provide an introductory overview over basic and current principles of tempo detection. Subsequently we show how to improve on these by inclusion of ballroom dance style recognition. We introduce a feature set of 82 rhythmic features for rhythm analysis on real audio. With this set data-driven identification of the meter and ballroom dance style employing support vector machines is carried out in a first step. Next this information is used to more robustly detect tempo. We evaluate the suggested method on a large public database containing 1.8 k titles of standard and Latin ballroom dance music. Following extensive test runs a clear boost in performance can be reported. Copyright 2008 Bjorn Schuller 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 Music Information Retrieval MIR has been a growing field of research over the last decade. The increasing popularity of portable music players and music distribution over the