| import re |
| import textgrid |
| import wave |
|
|
|
|
| def get_utterances_textgrid(tg_path): |
| tg = textgrid.TextGrid() |
| tg.read(tg_path) |
| utterances = [] |
| for tier in tg.tiers: |
| for interval in tier.intervals: |
| if len(interval.mark) > 0: |
| utterances.append({'text': interval.mark, |
| 'from': interval.minTime, |
| 'to': interval.maxTime}) |
| return utterances |
|
|
|
|
| def get_utterances_audacity(aud_path): |
| with open(aud_path, 'r') as _f: |
| lines = _f.readlines() |
| utterances = [] |
| for line in lines: |
| components = line.split('\t') |
| text = components[2].strip() |
| utterances.append({'text': text, |
| 'from': float(components[0]), |
| 'to': float(components[1])}) |
| return utterances |
|
|
|
|
| def get_partial_audio(audio_file_path, from_sec, to_sec): |
| with wave.open(audio_file_path, 'rb') as f: |
| framerate = f.getframerate() |
| assert framerate == 16000, 'Wave file framerate needs to be 16000!' |
| n_frames = f.getnframes() |
| frames = f.readframes(n_frames) |
| from_bytes = 2 * int(from_sec * framerate) |
| |
| to_bytes = 2 * int(to_sec * framerate) |
| return frames[from_bytes:to_bytes] |
|
|
|
|
| def write_wave(file_path, audio_frames): |
| with wave.open(file_path, 'wb') as f: |
| f.setparams((1, 2, 16000, 0, 'NONE', 'no compression')) |
| f.writeframes(audio_frames) |
|
|
|
|
| def strip_transcript_tags(text): |
| tags = ["<UNSURE>", "</UNSURE>", "<UNIN/>", "<INAUDIBLE_SPEECH/>"] |
| for t in tags: |
| text = text.replace(t, "") |
| text = re.sub(r'\s+', ' ', text) |
| text = text.lstrip().rstrip() |
| return text |
|
|
|
|
| def preprocess_text(text): |
| text = strip_transcript_tags(text) |
| text = text.lower() |
| text = text.replace('-', ' ') |
| text = re.sub(r'[^a-z \']+', '', text) |
| text = re.sub(r'\s+', ' ', text) |
| text = text.lstrip().rstrip() |
| return text |
|
|
