feat_summary {voice} | R Documentation |
Features summary
Description
Returns summary measures of 'voice::extract_features'.
Usage
feat_summary(
x,
groupBy = "wav_path",
wavPath = unique(x$wav_path),
wavPathName = "wav_path",
features = "f0",
filesRange = NULL,
sex = "u",
windowShift = 10,
numFormants = 8,
numcep = 12,
dcttype = c("t2", "t1", "t3", "t4"),
fbtype = c("mel", "htkmel", "fcmel", "bark"),
resolution = 40,
usecmp = FALSE,
mc.cores = 1,
full.names = TRUE,
recursive = FALSE,
check.mono = FALSE,
stereo2mono = FALSE,
overwrite = FALSE,
freq = 44100,
round.to = 4,
verbose = FALSE
)
Arguments
x |
An Extended data frame to be tagged with media information. |
groupBy |
A variable to group the summary measures. The argument must be a character vector. (Default: |
wavPath |
A vector containing the path(s) to WAV files. May be both as |
wavPathName |
A string containing the WAV path name. (Default: |
features |
Vector of features to be extracted. (Default: |
filesRange |
The desired range of directory files (default: |
sex |
|
windowShift |
|
numFormants |
|
numcep |
Number of Mel-frequency cepstral coefficients (cepstra) to return (Default: |
dcttype |
Type of DCT used. |
fbtype |
Auditory frequency scale to use: |
resolution |
|
usecmp |
Logical. Apply equal-loudness weighting and cube-root compression (PLP instead of LPC) (Default: |
mc.cores |
Number of cores to be used in parallel processing. (Default: |
full.names |
Logical. If |
recursive |
Logical. Should the listing recursively into directories? (Default: |
check.mono |
Logical. Check if the WAV file is mono. (Default: |
stereo2mono |
(Experimental) Logical. Should files be converted from stereo to mono? (Default: |
overwrite |
(Experimental) Logical. Should converted files be overwritten? If not, the file gets the suffix |
freq |
Frequency in Hz to write the converted files when |
round.to |
Number of decimal places to round to. (Default: |
verbose |
Logical. Should the running status be showed? (Default: |
Details
filesRange
should only be used when all the WAV files are in the same folder.
Value
A tibble data frame containing summarized numeric columns using (1) mean, (2) standard deviation, (3) variation coefficient, (4) median, (5) interquartile range and (6) median absolute deviation.
Examples
library(voice)
# get path to audio file
path2wav <- list.files(system.file('extdata', package = 'wrassp'),
pattern = glob2rx('*.wav'), full.names = TRUE)
# creating Extended synthetic data
E <- dplyr::tibble(subject_id = c(1,1,1,2,2,2,3,3,3),
wav_path = path2wav)
# minimal usage
feat_summary(E)
# canonical data
feat_summary(E, groupBy = 'subject_id')