standard mode | Rhythm category
- tickCandidates (vector_vector_real) - the tick candidates estimated using different beat trackers (or features) [s]
- ticks (vector_real) - the list of resulting ticks [s]
- confidence (real) - confidence with which the ticks were detected [0, 5.32]
This algorithm outputs beat positions and confidence of their estimation based on the maximum mutual agreement between beat candidates estimated by different beat trackers (or using different features).
Note that the input tick times should be in ascending order and that they cannot contain negative values otherwise an exception will be thrown.
 J. R. Zapata, A. Holzapfel, M. E. Davies, J. L. Oliveira, and F. Gouyon, "Assigning a confidence threshold on automatic beat annotation in large datasets," in International Society for Music Information Retrieval Conference (ISMIR’12), 2012.
 A. Holzapfel, M. E. Davies, J. R. Zapata, J. L. Oliveira, and F. Gouyon, "Selective sampling for beat tracking evaluation," IEEE Transactions on Audio, Speech, and Language Processing, vol. 13, no. 9, pp. 2539-2548, 2012.