使用模板匹配和轮廓分析对50千赫兹超声波发声进行自动声学分析。
Automated acoustic analysis of 50-kHz ultrasonic vocalizations using template matching and contour analysis.
作者信息
Barker David J, Johnson Aaron M
机构信息
National Institute on Drug Abuse Intramural Research Program, Neuronal Networks Section, National Institutes of Health, 251 Bayview Boulevard, Baltimore, Maryland 21224, USA
Department of Otolaryngology-Head and Neck Surgery, New York University Voice Center, New York University School of Medicine, 345 East 37th Street, Suite 306, New York, New York 10016, USA
出版信息
J Acoust Soc Am. 2017 Mar;141(3):EL281. doi: 10.1121/1.4977990.
Abstract
Ultrasonic vocalizations are a useful tool for inferring affective states in the rat and have been incorporated in research paradigms modeling important human conditions. While the majority of studies report the quantity or rate of observed ultrasonic vocalizations, growing evidence suggests that critical data may be contained in the acoustic features of individual vocalizations. Thus, the goal of the present study was to develop and validate a method for measuring acoustic parameters of ultrasonic vocalizations that were collected using automatic template detection. Acoustic parameters derived using this method were found to be comparable to those collected using commercially available software.
摘要
超声波发声是推断大鼠情感状态的一种有用工具，并已被纳入模拟重要人类状况的研究范式中。虽然大多数研究报告了观察到的超声波发声的数量或速率，但越来越多的证据表明，关键数据可能包含在单个发声的声学特征中。因此，本研究的目的是开发并验证一种测量使用自动模板检测收集的超声波发声声学参数的方法。发现使用该方法得出的声学参数与使用市售软件收集的参数相当。
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