def train_data_sources(self):
return {
'n_frames': data_sources.TextSource('n_frames', sentence_level=True),
'dur': data_sources.TextSource('dur'),
'lab': data_sources.NumpyBinarySource('lab'),
'counters': data_sources.NumpyBinarySource('counters'),
'lf0': data_sources.NumpyBinarySource('lf0', use_deltas=True),
'vuv': data_sources.NumpyBinarySource('vuv'),
}
def train_data_sources(self):
return {
'n_frames': data_sources.TextSource('n_frames'),
'n_phones': data_sources.TextSource('n_phones'),
'dur': data_sources.TextSource('dur', normalisation='mvn'),
'lab': data_sources.NumpyBinarySource('lab', normalisation='minmax'),
'counters': data_sources.NumpyBinarySource('counters', normalisation='minmax'),
'lf0': data_sources.NumpyBinarySource('lf0', normalisation='mvn', use_deltas=True),
'vuv': data_sources.NumpyBinarySource('vuv'),
}
def train_data_sources(self):
return {
'n_frames': data_sources.TextSource('n_frames', sentence_level=True),
'dur': data_sources.TextSource('dur'),
'phones': data_sources.VocabSource('phones', vocab_file=self.phone_set_file),
'counters': data_sources.NumpyBinarySource('counters'),
'lf0': data_sources.NumpyBinarySource('lf0', use_deltas=True),
'vuv': data_sources.NumpyBinarySource('vuv'),
'n_segments': data_sources.TextSource('n_segments', sentence_level=True),
'segment_n_frames': data_sources.TextSource('segment_n_frames'),
}
def valid_data_sources(self):
sources = self.train_data_sources()
sources['sp'] = data_sources.NumpyBinarySource('sp')
sources['ap'] = data_sources.NumpyBinarySource('ap')
return sources
