Smartphones for automatic shad counting

Author

Diep, Daniel ; Marc, Isabelle ; Nonon, Herve ; Delhom, Jonathan ; Roure, Frederic

Author_Institution

LGI2P, Ecole des Mines d´Ales, Nimes, France

fYear

2013

fDate

7-9 July 2013

Firstpage

163

Lastpage

166

Abstract

Smartphones are used here to develop a signal processing application. An acoustic signal analysis method is proposed for estimating the population of migrating shad (Alosa fallax rhodanensis) in rivers. The method consists in detecting sounds of splashes produced by shads during spawning acts. It is based on short-term spectral analysis, combined with GMM classification. The results obtained are very promising, and will be used to deploy automatic counting field devices.

Keywords

Gaussian processes; acoustic signal detection; audio signal processing; biology computing; signal classification; smart phones; spectral analysis; Alosa fallax rhodanensis; GMM classification; Gaussian mixture model; acoustic signal analysis method; automatic counting field devices; automatic shad counting; migrating shad population estimation; rivers; short-term spectral analysis; signal processing; smartphones; spawning acts; splashing sound detection; Acoustics; Feature extraction; Hidden Markov models; Monitoring; Rivers; Smart phones; Statistics; Alosa fallax rhodanensis; acoustic recognition; classification; shad; smartphone application;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on

Conference_Location

Bucharest

ISSN

2157-8672

Print_ISBN

978-1-4799-0941-4

Type

conf

DOI

10.1109/IWSSIP.2013.6623479

Filename

6623479