def test_utterance_nosilence(graph_db, textgrid_test_dir):
from polyglotdb.io.textgrid import inspect_discourse_textgrid, load_discourse_textgrid
tg_path = os.path.join(textgrid_test_dir, 'phone_word_no_silence.TextGrid')
with CorpusContext('word_phone_nosilence', **graph_db) as g:
g.reset()
annotation_types = inspect_discourse_textgrid(tg_path)
load_discourse_textgrid(g, tg_path, annotation_types)
g.encode_utterances()
q = g.query_graph(g.word).filter(g.word.label == 'b')
q = q.columns(g.word.following.label.column_name('following_word'))
print(q.cypher())
results = q.all()
assert(len(results) == 1)
assert(results[0].following_word is None)
q = g.query_graph(g.phone).filter(g.phone.label == 'b')
q = q.filter(g.phone.following.label == 'b')
q = q.columns(g.word.following.label.column_name('following_word'))
print(q.cypher())
results = q.all()
assert(len(results) == 1)
assert(results[0].following_word is None)
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()
annotation_types = inspect_discourse_textgrid(acoustic_path)
load_discourse_textgrid(c, acoustic_path, annotation_types)
c.analyze_acoustics()
return config
