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'), }