MFCCFunction: MFCCFunction

In DenaJGibbon/gibbonR: gibbonR: An R package for the detection and classification of acoustic signals using machine learning

MFCCFunction

Description

Function to calculate Mel-frequency cepstral coefficents over a directory of focal recordings

Usage

MFCCFunction(
  input.dir,
  min.freq = 400,
  max.freq = 2000,
  n.windows = 9,
  num.cep = 12,
  win.avg = "standard",
  win.hop.time = 0.25
)

Arguments

input.dir	where the .wav files are stored
min.freq	the minimum frequency (Hz) of the signal of interest
max.freq	the maximum frequency (Hz) of the signal of interest
n.windows	the number of time windows to divide the signal by
num.cep	the number of cepstra to calculate for each time window
win.avg	Option of 'no.avg','mean.sd' or 'standard'; whether to return MFCCs for each non-overlapping time window, calculate mean and SD over each MFCC or calculated MFCCs for a set number of time windows.
win.hop.time	If win.avg='standard' the specified window size.

Value

a data frame with a row of MFCCs for each .wav file

Examples

MFCCFunction(input.dir = "FocalRecordings",min.freq = 400,max.freq=2500)

DenaJGibbon/gibbonR documentation built on Nov. 28, 2024, 2:52 a.m.