Skip to contents

Compute the ComParE 2016 openSMILE feature set

lst_ComParE_2016.Rd

This function applies the "The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language" ComParE (Weninger et al. 2013) to a portion of a recording.

Usage

lst_ComParE_2016(listOfFiles, beginTime = 0, endTime = 0, explicitExt = "cmp", toFile = FALSE, return_jstf = FALSE, outputDirectory = NULL)

Arguments

listOfFiles

The full path to the sound file.

beginTime

The starting time of the section of the sound files that should be analysed.

endTime

The end time of the sound files that should be analysed.

explicitExt

The file extension of the slice file where the results should be stored. Default "cmp".

toFile

Logical. If TRUE, write results to JSTF file. Default FALSE.

return_jstf

Logical. Return JsonTrackObj instead of list? Default FALSE. When both toFile and return_jstf are TRUE, writes the file AND returns the object.

outputDirectory

Character. Output directory path. Default NULL (use input directory).

Value

If return_jstf=FALSE and toFile=FALSE (default), a list of 6,373 acoustic values. If toFile=TRUE, invisibly returns the path(s) to the written JSTF file(s). If return_jstf=TRUE, returns a JsonTrackObj. Please consult the (Weninger et al. 2013) for a description of the features.

Details

The ComParE feature set consists of of 6 373 static acoustic features resulting from the computation of various functionals over low-level descriptor features, and is applied by this function using the openSMILE (Eyben et al. 2010; Jaimes et al. 2013) acoustic feature extraction library.

References

Eyben F, Wöllmer M, Schuller B (2010). Opensmile: the munich versatile and fast open-source audio feature extractor, the international conference. ACM. ISBN 978-1-60558-933-6. doi:10.1145/1873951.1874246 . http://dl.acm.org/citation.cfm?id=1874246.

Jaimes A(, Sebe N, Boujemaa N, Gatica-Perez D, Shamma DA, Worring M, Zimmermann R, Eyben F, Weninger F, Gross F, Schuller B (2013). “Recent developments in openSMILE, the munich open-source multimedia feature extractor.” Proceedings of the 21st ACM international conference on Multimedia, 835–838. doi:10.1145/2502081.2502224 .

Weninger F, Eyben F, Schuller BW, Mortillaro M, Scherer KR (2013). “On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common.” Frontiers in Psychology, 4, 292. ISSN 1664-1078. doi:10.3389/fpsyg.2013.00292 .

Examples

if (FALSE) { # \dontrun{
# Using C++ implementation (default, fastest)
compare <- lst_ComParE_2016("audio.wav")

# With time windowing
compare <- lst_ComParE_2016("audio.wav", beginTime = 1.0, endTime = 3.0)

# Write results to JSTF file
lst_ComParE_2016("audio.wav", toFile = TRUE)  # Creates audio.cmp

# Read back and convert to data.frame
track <- read_track("audio.cmp")
df <- as.data.frame(track)
head(df)  # Shows begin_time, end_time, and all 6,373 ComParE features
} # }