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Estimating The Error Distribution Of A Single Tap Sequence Without Ground Truth

Roger B. Dannenberg, Larry A. Wasserman
2009 Zenodo  
ACKNOWLEDGEMENTS The authors would like to acknowledge the contributions of Nathaniel Anozie to the initial exploration and analysis of this data, and Cosma Shalizi for helpful consultation and discussions  ...  This work was supported in part by Microsoft Research through the Computational Thinking Center at Carnegie Mellon.  ...  For example, we will show how a single set of foot tap times captured in a live performance can be used to estimate the accuracy of foot tapping, again without any ground truth.  ... 
doi:10.5281/zenodo.1417264 fatcat:zxgalgvs7jds3lsxt2fngj5io4

Estimating the Error Distribution of a Single Tap Sequence without Ground Truth

Roger B Dannenberg, Larry Wasserman
2018
Thus, without knowledge of true beat times, and without even requiring the existence of precise beat times, we can estimate the uncertainty of tap times.  ...  Multiple independent taps can be used to estimate not only the location of the true beat time, but also the statistical distribution of measured tap times around the true beat time.  ...  ACKNOWLEDGEMENTS The authors would like to acknowledge the contributions of Nathaniel Anozie to the initial exploration and analysis of this data, and Cosma Shalizi for helpful consultation and discussions  ... 
doi:10.1184/r1/6605279.v1 fatcat:qx2hmfcw7fc4vcyrffgx5um6z4

Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram

M E P Davies, N Degara, M D Plumbley
2011 IEEE Signal Processing Letters  
and a set of ground truth annotations.  ...  Central to our method is a novel visualisation, the beat error histogram, which illustrates the metrical relationship between two qausiperiodic sequences of time instants: the output of beat tracking system  ...  We would like to thank the anonymous reviewers for their comments and recommendations.  ... 
doi:10.1109/lsp.2010.2102018 fatcat:5opfkqy7iffezexqvxvzjwuyt4

On the Use of Entropy for Beat Tracking Evaluation

M. E. P. Davies, M. D. Plumbley
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
To this aim, we propose a new method for beat tracking evaluation by measuring beat accuracy in terms of the entropy of a beat error histogram.  ...  We demonstrate the ability of our approach to address several shortcomings of existing methods.  ...  APPROACH In our objective approach to beat tracking evaluation we compare a sequence of extracted beat times γ to a sequence of ground truth beat annotations a.  ... 
doi:10.1109/icassp.2007.367317 dblp:conf/icassp/DaviesP07 fatcat:5iewdwusifcf7jopp4ll6fjywq

When did the train arrive? A Bayesian approach to enrich timetable information using smart card data

Philip Lemaitre, Michael Riis Andersen, Jes Frellsen
2021 IEEE Open Journal of Intelligent Transportation Systems  
The method uses the knowledge of how the tap-outs are distributed in a hierarchical, latent Bayesian model to predict the arrival times of trains.  ...  This paper shows how the uncertainty of arrival and departure times affects passengers to train assignments and proposes a method for estimating the missing arrival time of trains when the recorded timetable  ...  A/S.  ... 
doi:10.1109/ojits.2021.3094620 fatcat:aaww6mnthbezzorxpt4hdd2lm4

A Social Network Integrated Game Experiment To Relate Tapping To Speed Perception And Explore Rhythm Reproduction

Guillaume Bellec, Anders Elowsson, Anders Friberg, Daniel Wolff, Tillman Weyde
2013 Proceedings of the SMC Conferences  
In the rating computation and the presented preliminary analysis, the recorded taps of the four keys are merged to a single tap sequence.  ...  Results of the tapping experiments For "tap tempo", we were able to collect a large dataset of new tempo estimations, and found the collected data strongly reproduced ground truth data, encouraging the  ... 
doi:10.5281/zenodo.850198 fatcat:5kf53yneqbebhgf3zxawxtithe

Towards Automatically Correcting Tapped Beat Annotations for Music Recordings

Jonathan Driedger, Hendrik Schreiber, Bas De Haas, Meinard Müller
2019 Zenodo  
Second, we introduce a novel visualization method that serves as a tool to analyze the results of the correction procedure for potential errors.  ...  In this work we aim to automate this correction step by "snapping" the taps to close-by audio cues - a strategy that is often used by beat tracking algorithms to refine their beat estimates.  ...  Furthermore, we thank Jeroen Bransen for the discussions about the algorithmic details of the procedure, Jeffrey van Rossum for creating the original taps for the recordings in the dataset, as well our  ... 
doi:10.5281/zenodo.3527778 fatcat:jdtdamdqdbaoxc4r6d5kodfnzi

Selective Sampling for Beat Tracking Evaluation

André Holzapfel, Matthew E. P. Davies, José R. Zapata, João Lobato Oliveira, Fabien Gouyon
2012 IEEE Transactions on Audio, Speech, and Language Processing  
In this paper, we propose a method that can identify challenging music samples for beat tracking without ground truth.  ...  Our method, motivated by the machine learning method "selective sampling", is based on the measurement of mutual agreement between beat sequences.  ...  ACKNOWLEDGEMENTS We thank the authors of the beat tracking algorithms for making their code available.  ... 
doi:10.1109/tasl.2012.2205244 fatcat:pt6ikbec7zhvzh65p7deoeuuje

A Hybrid Graphical Model For Aligning Polyphonic Audio With Musical Scores

Christopher Raphael
2004 Zenodo  
For each of these examples we created ground truth by playing the audio file from the computer and tapping along on the keyboard while recording the times of each key press.  ...  In interpreting these results, one should keep in mind that the tapping ground truth is not especially accurate, thereby making the measured performance of the algorithm appear worse than they are in truth  ... 
doi:10.5281/zenodo.1416499 fatcat:l7dnodkztzdbrfjssc6w5fppwy

Reducing Tempo Octave Errors By Periodicity Vector Coding And Svm Learning

Aggelos Gkiokas, Vassilios Katsouros, George Carayannis
2012 Zenodo  
Distribution of classification errors (dark bars) with respect to ground-truth tempo compared to the overall dataset tempo distribution (light bars).  ...  Figure 4 4 Figure 4 illustrates the tempo class error with respect to ground-truth tempo, along with dataset tempo distribution for both datasets.  ... 
doi:10.5281/zenodo.1417439 fatcat:4eymhjiuerarbkebmzvclbkx3a

Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval

Ching-Wei Chen, Kyogu Lee, Ho-Hsiang Wu
2009 2009 International Conference on Machine Learning and Applications  
Tempo is a common criterion by which humans describe and categorize music, and this has spawned a large amount of research in the field of automatic tempo estimation.  ...  In this paper, the problem of tempo estimation is presented as a statistical classification problem.  ...  The ground truth tempo was given as a single BPM value, derived from the ``foot-tapping rate'' of the annotator, and was intended to represent the most salient tempo within the music, as perceived by a  ... 
doi:10.1109/icmla.2009.54 dblp:conf/icmla/ChenLW09 fatcat:y4l4zmawxnellitk4d4zd6vewy

Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition [article]

Michael Wray, Davide Moltisanti, Walterio Mayol-Cuevas, Dima Damen
2017 arXiv   pre-print
Given a video segment containing an object interaction, we model the probability for a verb, out of a list of possible verbs, to be used to annotate that interaction.  ...  The proba- bility is learnt from crowdsourced annotations, and is tested on two public datasets, comprising 1405 video sequences for which we provide annotations on 90 verbs.  ...  Error of Predicted Verb Probabilities has been able to fit well to the ground truth.  ... 
arXiv:1703.08338v2 fatcat:a6rl5iglw5cdrdbszwz6kcvjpe

Ground truth dataset and baseline evaluations for intrinsic image algorithms

Roger Grosse, Micah K Johnson, Edward H Adelson, William T Freeman
2009 2009 IEEE 12th International Conference on Computer Vision  
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.  ...  Acknowledgements We would like to thank Kevin Kleinguetl and Amity Johnson for helping with the data gathering and Marshall Tappen for helpful discussions and for assisting with the algorithmic comparisons  ...  This work was supported in part by the National Geospatial-Intelligence Agency, Shell, the National Science Foundation grant 0739255, NGA NEGI-1582-04-0004, MURI Grant N00014-06-1-0734, and gifts from  ... 
doi:10.1109/iccv.2009.5459428 dblp:conf/iccv/GrosseJAF09 fatcat:dnevcfmoofhxrf47lrs5rnxjgy

A Multisensor Technique for Gesture Recognition Through Intelligent Skeletal Pose Analysis

Nathaniel Rossol, Irene Cheng, Anup Basu
2016 IEEE Transactions on Human-Machine Systems  
That is, if f i is a 3-D vector representing the position of the fingertip of the ith finger on a hand, and g i is the actual ground truth position, we then define the error of a hand pose estimation as  ...  Selecting Optimal Pose Estimations We define the amount of pose estimation error as the sum of the Euclidean distances (in millimeters) of each fingertip from its ground truth position.  ...  He is currently a Postdoctoral Fellow with the Department of Computing Science, University of Alberta.  ... 
doi:10.1109/thms.2015.2467212 fatcat:tbizcuhhrncgjer4putjgvenxy

Validating an iOS-based Rhythmic Auditory Cueing Evaluation (iRACE) for Parkinson's Disease

Shenggao Zhu, Robert J. Ellis, Gottfried Schlaug, Yee Sien Ng, Ye Wang
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
The touchscreen of the mobile device is used to assess motor timing during index finger tapping, and the device's built-in tri-axial accelerometer and gyroscope to assess step time and step length during  ...  The concurrent validity of iRACE was assessed using a clinic-standard instrumented walking mat and a pair of force-sensing resistor sensors.  ...  of Singapore (MDA) under Centre of Social Media Innovations for Communities (COSMIC), and partially funded by the Agency for Science, Technology and Research (A*STAR) under grant R-252-000-510-305.  ... 
doi:10.1145/2647868.2654952 dblp:conf/mm/ZhuESNW14 fatcat:4vhdy3i46neftb3llsvm4zqd2q
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