Biblio
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Model cortical responses for the detection of perceptual onsets and beat tracking in singing.
Connection Science. 21(2-3), 193-205. Abstract
(2009).
MIREX 2012: MULTI FEATURE BEAT TRACKER (ZDG1 AND ZDG2).
7th Music Information Retrieval Evaluation eXchange (MIREX). Abstract
(2012).
Selective sampling for beat tracking evaluation.
IEEE Transactions on Audio Speech and Language Processing. Abstract
(2012).
Assigning a Confidence Threshold on Automatic Beat Annotation in Large Datasets.
13th International Society for Music Information Retrieval Conference. 157-162. Abstract
(2012).
Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study.
The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) . 583-590.
(2012).
On the automatic identification of difficult examples for beat tracking: towards building new evaluation datasets.
The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 89-92. Abstract
(2012).
Comparative evaluation and combination of automatic rhythm description systems.
Department of Information and Communication Technologies. Abstract
(2013).
Using Voice Suppression Algorithms to improve Beat Tracking in the Presence Of Highly Predominant Volcals.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). Abstract
(2013).
Beat Tracking from Conducting Gestural Data: A Multi-Subject Study.
Proceedings of the 2014 International Workshop on Movement and Computing. 118–123. Abstract
(2014).
Multi-feature beat tracking.
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22(4), 816 - 825 . Abstract
(2014).
A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music.
Department of Information and Communication Technologies. 332. Abstract
(2016).