Noise filtering and occurrence identification of mouse ultrasonic vocalization call

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

2 Scopus Citations
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Author(s)

  • Nancy Yu Song
  • Jérôme Nicon
  • Md Ashraful Amin

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages1218-1223
Volume3
ISBN (Print)9781479902576
Publication statusPublished - 2013

Publication series

Name
Volume3
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Title12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
PlaceChina
CityTianjin
Period14 - 17 July 2013

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.

Research Area(s)

  • Denoise, Mouse ultrasonic vocalization, Mouse Voice Activity Detection, Occurrence detection, Spectral Subtraction

Citation Format(s)

Noise filtering and occurrence identification of mouse ultrasonic vocalization call. / Song, Nancy Yu; Nicon, Jérôme; Min, Biao; Cheung, Ray C. C.; Amin, Md Ashraful; Yan, Hong.

Proceedings - International Conference on Machine Learning and Cybernetics. Vol. 3 IEEE Computer Society, 2013. p. 1218-1223 6890775.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review