Title :
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
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;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4799-0941-4
DOI :
10.1109/IWSSIP.2013.6623479
