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David J Barker, Christopher Herrera, Mark O West
BACKGROUND: Ultrasonic vocalizations (USVs) have been utilized to infer animals' affective states in multiple research paradigms including animal models of drug abuse, depression, fear or anxiety disorders, Parkinson's disease, and in studying neural substrates of reward processing. Currently, the analysis of USV data is performed manually, and thus is time consuming. NEW METHOD: The goal of the present study was to develop a method for automated USV recognition using a 'template detection' procedure for vocalizations in the 50-kHz range (35-80kHz)...
October 30, 2014: Journal of Neuroscience Methods
Hui Ou, Whitlow W L Au, Julie N Oswald
This letter introduces an algorithm for automatic detection of minke whale boing sounds. This method searches for frequency features of boings without calculating the continuous spectrogram of the data, thereby reducing computational time. The detector has been tested on 8 h of acoustic data recorded at the Station ALOHA Cabled Observatory in March 2007. This dataset was previously analyzed using the cross-correlation detector of XBAT and was verified by a human listener, as reported in Oswald et al. [(2011)...
October 2012: Journal of the Acoustical Society of America
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