Conference Paper2013Cited by 2

Noise filtering and occurrence identification of mouse ultrasonic vocalization call

Nancy Yu Song, Jérôme Nicon, Biao Min, Ray CC Cheung, Md Ashraful Amin, Hong Yan

2013 International Conference on Machine Learning and Cybernetics

IEEE, Vol. 3, pp. 1218–1223

DOI: 10.1109/icmlc.2013.6890775URL

Abstract

Currently, there exists a large amount of mouse ultrasonic vocalization data to be analyzed. However, manual annotation of mouse ultrasonic vocalization data requires a lot of human efforts and sometimes it is a mission impossible. As a result, a method is proposed in this paper to filter out the noise in the vocalization recordings and automatically identify the occurrence of mouse vocalization calls. The method can speed up the process of annotating the vocalization data.

Keywords

  • Noise reduction
  • automatic annotation
  • acoustic signal processing

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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Cited By

  1. 1.Maarten Van Segbroeck, Allison T. Knoll, Pat Levitt, Shrikanth Narayanan. (2017). MUPET—Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations. Neuron, 94(3), 465–485.e5[10.1016/j.neuron.2017.04.005]
  2. 2.Adam A. Smith, Drew Kristensen. (2017). Deep learning to extract laboratory mouse ultrasonic vocalizations from scalograms. , 1972–1979[10.1109/bibm.2017.8217964]
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