mandelellis::mandelellis() :
// initialize method configuration parameters
sample_rate(22050),
window_size(1024),
hop(0.5f),
max_pcmlength(60*sample_rate),
ps_bins(window_size/2+1),
mel_bins(36),
mfcc_bins(20),
// spectra and filters
ps(windowfunction::hann(window_size), hop),
mel(ps_bins, mel_bins, sample_rate),
mfccs(mel_bins, mfcc_bins),
gs(mfcc_bins)
{
// Configure the musly_track features and save the musly_track offsets
// the feature mean
track_mu = track_addfield_floats("gaussian.mu", gs.get_dim());
// add the covariance (symmetric matrix)
track_covar = track_addfield_floats("gaussian.covar", gs.get_covarelems());
// add the covariance (symmetric matrix)
track_covar_inverse = track_addfield_floats("gaussian.covar_inverse",
gs.get_covarelems());
}
timbre::timbre() :
// initialize method configuration parameters
sample_rate(22050),
window_size(1024),
hop(0.5f),
max_pcmlength(60*sample_rate),
ps_bins(window_size/2+1),
mel_bins(36),
mfcc_bins(25),
// spectra and filters
ps(windowfunction::hann(window_size), hop),
mel(ps_bins, mel_bins, sample_rate),
mfccs(mel_bins, mfcc_bins),
gs(mfcc_bins),
mp(this)
{
// Configure the musly_track features and save the musly_track offsets
// the feature mean
track_mu = track_addfield_floats("gaussian.mu", gs.get_dim());
// add the covariance (symmetric matrix)
track_covar = track_addfield_floats("gaussian.covar", gs.get_covarelems());
// add the log(det(covar)) of the covariance for performance reasons
track_logdet = track_addfield_floats("gaussian.covar_logdet", 1);
// React on changes to the trackid mapping in the ordered_idpool
idpool.set_observer(this);
}
