Noise filtering and occurrence identification of mouse ultrasonic vocalization call

Author

Song, Nancy Yu ; Nicon, Jerome ; Biao Min ; Cheung, Ray C. C. ; Amin, M. Ashraful ; Hong Yan

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon Tong, China

Volume

03

fYear

2013

fDate

14-17 July 2013

Firstpage

1218

Lastpage

1223

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

acoustic noise; acoustic signal processing; audio recording; audio signal processing; biocommunications; filtering theory; ultrasonic applications; mouse ultrasonic vocalization call; mouse ultrasonic vocalization data; noise filtering; occurrence identification; vocalization recordings; Abstracts; Accuracy; Diseases; Economics; Manuals; Mice; Noise; Denoise; Mouse Voice Activity Detection; Mouse ultrasonic vocalization; Occurrence detection; Spectral Subtraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2013 International Conference on

Conference_Location

Tianjin

Type

conf

DOI

10.1109/ICMLC.2013.6890775

Filename

6890775