Title :
Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram
Author :
Davies, Matthew E P ; Degara, Norberto ; Plumbley, Mark D.
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fDate :
3/1/2011 12:00:00 AM
Abstract :
We present a new evaluation method for measuring the performance of musical audio beat tracking systems. Central to our method is a novel visualization, the beat error histogram, which illustrates the metrical relationship between two qausi-periodic sequences of time instants: the output of beat tracking system and a set of ground truth annotations. To quantify beat tracking performance we derive an information theoretic statistic from the histogram. Results indicate that our method is able to measure performance with greater precision than existing evaluation methods and implicitly cater for metrical ambiguity in tapping sequences.
Keywords :
information retrieval; music; tracking; beat error histogram; beat tracking algorithm; evaluation method; ground truth annotation; information theoretic statistic; metrical ambiguity; musical audio beat tracking system; performance measurement; qausi periodic sequence; tapping sequence; time instant; Accuracy; Entropy; Gain measurement; Histograms; Measurement uncertainty; Timing; Visualization; Beat tracking; evaluation; music information retrieval;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2010.2102018
