M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 5, May 2014
Musical Audio Beat Tracking using Hidden Markov Model
Lata Dhulekar, Dr. S. K. Shah
Abstract: The proposed method describes the beat tracking system of musical audio signals. Here; the beat tracking deals with the explicit modeling of non-beat states and estimates the time between consecutive beat events. The expected accuracy of the estimated beats is also provided additionally. To predict the accuracy of the beat estimate a k-nearest neighbor regression algorithm is used. A database of 222 musical signals of various genres is used to statistically evaluate the performance for beat tracking system. A new perspective for beat detection is presented which can be used to enhance the performance of the proposed algorithm and relates it with the human tapping.
Keywords: Beat-tracking, onset detection, k-nearest neighbor k-NN regression, Hidden Markov Model, Musical Audio Processing
Edition: Volume 3 Issue 5, May 2014,
Pages: 1054 - 1058
How to Cite this Article?
Lata Dhulekar, Dr. S. K. Shah, "Musical Audio Beat Tracking using Hidden Markov Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=20131975, Volume 3 Issue 5, May 2014, 1054 - 1058
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