2013
DOI: 10.1016/j.jneumeth.2013.06.006
|View full text |Cite
|
Sign up to set email alerts
|

Automating ultrasonic vocalization analyses: The WAAVES program

Abstract: Background Human emotion is a crucial component of drug abuse and addiction. Ultrasonic vocalizations (USVs) elicited by rodents are a highly translational animal model of emotion in drug abuse studies. A major roadblock to comprehensive use of USV data is the overwhelming burden to attain accurate USV assessment in a timely manner. One of the most accurate methods of analyzing USVs, human auditory detection with simultaneous spectrogram inspection, requires USV sound files to be played back 4% normal speed. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
43
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 40 publications
(43 citation statements)
references
References 26 publications
0
43
0
Order By: Relevance
“…Thus, proper hardware selection and optimization of the template library is important for the rapid detection of USVs. Nevertheless, detection speed is faster than human detection, which can take nearly ten times longer, i.e., 15-20s of human scoring time for every 1s of recorded data (Reno et al, 2013). …”
Section: 0 Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Thus, proper hardware selection and optimization of the template library is important for the rapid detection of USVs. Nevertheless, detection speed is faster than human detection, which can take nearly ten times longer, i.e., 15-20s of human scoring time for every 1s of recorded data (Reno et al, 2013). …”
Section: 0 Resultsmentioning
confidence: 99%
“…Specifically, files must be screened manually in order to detect and quantify the observed vocalizations—a process which can take 15-20 hours of human scoring time for every 1 hour of recorded data (Reno et al, 2013). These types of signal-detection problems are common in the bioacoustics field, and viable detectors have been developed for a number of other species (e.g., Brandes, 2008; Mohammad & McHugh, 2011; Chesmore & Ohya, 2004; Charif & Pitzrick, 2008; Mellinger & Clark, 1997).…”
Section: 0 Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Frequency-modulated (FM) 50–55 kHz and 22–28 kHz USV counts were quantified using the WAAVES algorithm as previously described [40]. Briefly, the WAAVES algorithm applies a set of conditions to define 50–55 kHz FM and 22–28 kHz USVs and to filter out noise elements.…”
Section: Methodsmentioning
confidence: 99%
“…This is a very time consuming process as the number of calls can go from 500 to 1000 different elements in just one recording of 10 min. Recently, the first attempts to automate the analysis of ultrasonic sounds have been reported (Barker et al, 2014;Reno et al, 2013), which hopefully will initiate the further technical development of these automated tools.…”
Section: Including Automated Ultrasonic Vocalizations Recordings Intomentioning
confidence: 99%