def acoustic_config(graph_db, textgrid_test_dir):
config = CorpusConfig('acoustic', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'acoustic_corpus.TextGrid')
with CorpusContext(config) as c:
c.reset()
parser = inspect_textgrid(acoustic_path)
c.load(parser, acoustic_path)
config.pitch_algorithm = 'acousticsim'
config.formant_source = 'acousticsim'
return config
def acoustic_config(graph_db, textgrid_test_dir):
config = CorpusConfig('acoustic', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'acoustic_corpus.TextGrid')
with CorpusContext(config) as c:
c.reset()
parser = inspect_textgrid(acoustic_path)
c.load(parser, acoustic_path)
config.pitch_algorithm = 'acousticsim'
config.formant_algorithm = 'acousticsim'
return config
def acoustic_utt_config(graph_db, textgrid_test_dir):
config = CorpusConfig('acoustic utt', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'acoustic_corpus.TextGrid')
with CorpusContext(config) as c:
c.reset()
parser = inspect_textgrid(acoustic_path)
c.load(parser, acoustic_path)
c.encode_pauses(['sil'])
c.encode_utterances(min_pause_length = 0)
config.pitch_algorithm = 'acousticsim'
config.formant_algorithm = 'acousticsim'
return config
def acoustic_utt_config(graph_db, textgrid_test_dir):
config = CorpusConfig('acoustic utt', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'acoustic_corpus.TextGrid')
with CorpusContext(config) as c:
c.reset()
parser = inspect_textgrid(acoustic_path)
c.load(parser, acoustic_path)
c.encode_pauses(['sil'])
c.encode_utterances(min_pause_length=0)
config.pitch_algorithm = 'acousticsim'
config.formant_algorithm = 'acousticsim'
return config
def overlapped_config(graph_db, textgrid_test_dir, acoustic_syllabics):
config = CorpusConfig('overlapped', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'overlapped_speech')
with CorpusContext(config) as c:
c.reset()
parser = inspect_mfa(acoustic_path)
c.load(parser, acoustic_path)
c.encode_pauses(['sil'])
c.encode_utterances(min_pause_length=0)
c.encode_syllabic_segments(acoustic_syllabics)
c.encode_syllables()
config.pitch_algorithm = 'acousticsim'
config.formant_source = 'acousticsim'
return config
'graph_port': 7474,
'graph_user': '******',
'graph_password': '******'
}
praat = r'C:\Users\michael\Documents\Praat\praatcon.exe'
reaper = r'D:\Dev\Tools\REAPER-master\reaper.exe'
speaker_info_path = r'D:\Data\VIC\SpeakerInfo.txt'
config = CorpusConfig('buckeye', **graph_db)
config.reaper_path = reaper
config.praat_path = praat
config.pitch_algorithm = 'praat'
def call_back(*args):
args = [x for x in args if isinstance(x, str)]
if args:
print(' '.join(args))
if __name__ == '__main__':
with CorpusContext(config) as g:
g.reset_acoustics()
if not 'utterance' in g.annotation_types:
g.encode_pauses('^[{<].*', call_back=call_back)
g.encode_utterances(min_pause_length=0.15, call_back=call_back)
if not g.hierarchy.has_speaker_property('gender'):