evaluatePars: Evaluate parameters for optimization

In tatters/soundgen_beta: Parametric Voice Synthesis

Description

Internal soundgen function.

Usage

evaluatePars(p, pars, myfun, bounds = NULL, fitnessPar,
  fitnessFun = function(x) 1 - cor(x, key, use = "pairwise.complete.obs"),
  myfolder, key, otherPars = list(plot = FALSE, verbose = FALSE),
  verbose = TRUE)

Arguments

p	numeric vector of evaluated values of parameters
pars	names of arguments to myfun that should be optimized
myfun	the function being optimized: either 'segmentFolder' or 'analyzeFolder' (in quotes)
bounds	a list setting the lower and upper boundaries for possible values of optimized parameters. For ex., if we optimize smooth and smoothOverlap, reasonable bounds might be list(low = c(5, 0), high = c(500, 95))
fitnessPar	the name of output variable that we are comparing with the key, e.g. 'nBursts' or 'pitch_median'
fitnessFun	the function used to evaluate how well the output of myfun fits the key. Defaults to 1 - Pearson's correlation (i.e. 0 is perfect fit, 1 is awful fit). For pitch, log scale is more meaningful, so a good fitness criterion is function(x) 1 - cor(log(x), log(key), use = 'pairwise.complete.obs')
myfolder	path to where the .wav files live
key	a vector containing the "correct" measurement that we are aiming to reproduce
otherPars	a list of additional arguments to myfun
verbose	if TRUE, reports the values of parameters evaluated and fitness

Details

Called by optimizePars.

Value

Returns 1 - Pearson's correlation between fitness measure and the key (i.e. 0 is perfect fit, 1 is awful fit).

tatters/soundgen_beta documentation built on May 14, 2019, 9 a.m.