| | |
| | | |
| | | |
| | | def ts_prediction_lfr6_standard( |
| | | us_alphas, us_peaks, char_list, vad_offset=0.0, force_time_shift=-1.5, sil_in_str=True |
| | | us_alphas, us_peaks, char_list, vad_offset=0.0, force_time_shift=-1.5, sil_in_str=True, upsample_rate=3, |
| | | ): |
| | | if not len(char_list): |
| | | return "", [] |
| | | START_END_THRESHOLD = 5 |
| | | MAX_TOKEN_DURATION = 12 |
| | | TIME_RATE = 10.0 * 6 / 1000 / 3 # 3 times upsampled |
| | | MAX_TOKEN_DURATION = 12 # 3 times upsampled |
| | | TIME_RATE=10.0 * 6 / 1000 / upsample_rate |
| | | if len(us_alphas.shape) == 2: |
| | | alphas, peaks = us_alphas[0], us_peaks[0] # support inference batch_size=1 only |
| | | else: |
| | |
| | | timestamp_list.append([_end * TIME_RATE, num_frames * TIME_RATE]) |
| | | new_char_list.append("<sil>") |
| | | else: |
| | | timestamp_list[-1][1] = num_frames * TIME_RATE |
| | | if len(timestamp_list)>0: |
| | | timestamp_list[-1][1] = num_frames * TIME_RATE |
| | | if vad_offset: # add offset time in model with vad |
| | | for i in range(len(timestamp_list)): |
| | | timestamp_list[i][0] = timestamp_list[i][0] + vad_offset / 1000.0 |
| | |
| | | ) |
| | | for punc_stamp_text in punc_stamp_text_list: |
| | | punc_id, timestamp, text = punc_stamp_text |
| | | if sentence_start is None and timestamp is not None: |
| | | sentence_start = timestamp[0] |
| | | # sentence_text += text if text is not None else '' |
| | | if text is not None: |
| | | if "a" <= text[0] <= "z" or "A" <= text[0] <= "Z": |
| | |
| | | punc_id = int(punc_id) if punc_id is not None else 1 |
| | | sentence_end = timestamp[1] if timestamp is not None else sentence_end |
| | | sentence_text_seg = ( |
| | | sentence_text_seg[:-1] if sentence_text_seg[-1] == " " else sentence_text_seg |
| | | sentence_text_seg[:-1] if sentence_text_seg and sentence_text_seg[-1] == " " else sentence_text_seg |
| | | ) |
| | | if punc_id > 1: |
| | | sentence_text += punc_list[punc_id - 2] |
| | |
| | | sentence_text = "" |
| | | sentence_text_seg = "" |
| | | ts_list = [] |
| | | sentence_start = sentence_end |
| | | sentence_start = None |
| | | return res |
| | | |
| | | |
| | | def timestamp_sentence_en( |
| | | punc_id_list, timestamp_postprocessed, text_postprocessed, return_raw_text=False |
| | | ): |
| | | punc_list = [",", ".", "?", ","] |
| | | res = [] |
| | | if text_postprocessed is None: |
| | | return res |
| | | if timestamp_postprocessed is None: |
| | | return res |
| | | if len(timestamp_postprocessed) == 0: |
| | | return res |
| | | if len(text_postprocessed) == 0: |
| | | return res |
| | | |
| | | if punc_id_list is None or len(punc_id_list) == 0: |
| | | res.append( |
| | | { |
| | | "text": text_postprocessed.split(), |
| | | "start": timestamp_postprocessed[0][0], |
| | | "end": timestamp_postprocessed[-1][1], |
| | | "timestamp": timestamp_postprocessed, |
| | | } |
| | | ) |
| | | return res |
| | | if len(punc_id_list) != len(timestamp_postprocessed): |
| | | logging.warning("length mismatch between punc and timestamp") |
| | | sentence_text = "" |
| | | sentence_text_seg = "" |
| | | ts_list = [] |
| | | sentence_start = timestamp_postprocessed[0][0] |
| | | sentence_end = timestamp_postprocessed[0][1] |
| | | texts = text_postprocessed.split() |
| | | punc_stamp_text_list = list( |
| | | zip_longest(punc_id_list, timestamp_postprocessed, texts, fillvalue=None) |
| | | ) |
| | | is_sentence_start = True |
| | | for punc_stamp_text in punc_stamp_text_list: |
| | | punc_id, timestamp, text = punc_stamp_text |
| | | # sentence_text += text if text is not None else '' |
| | | if text is not None: |
| | | if "a" <= text[0] <= "z" or "A" <= text[0] <= "Z": |
| | | sentence_text += " " + text |
| | | elif len(sentence_text) and ( |
| | | "a" <= sentence_text[-1] <= "z" or "A" <= sentence_text[-1] <= "Z" |
| | | ): |
| | | sentence_text += " " + text |
| | | else: |
| | | sentence_text += text |
| | | sentence_text_seg += text + " " |
| | | ts_list.append(timestamp) |
| | | |
| | | punc_id = int(punc_id) if punc_id is not None else 1 |
| | | sentence_end = timestamp[1] if timestamp is not None else sentence_end |
| | | sentence_text = sentence_text[1:] if sentence_text[0] == ' ' else sentence_text |
| | | if is_sentence_start: |
| | | sentence_start = timestamp[0] if timestamp is not None else sentence_start |
| | | is_sentence_start = False |
| | | if punc_id > 1: |
| | | is_sentence_start = True |
| | | sentence_text += punc_list[punc_id - 2] |
| | | sentence_text_seg = ( |
| | | sentence_text_seg[:-1] if sentence_text_seg[-1] == " " else sentence_text_seg |
| | | ) |
| | | if return_raw_text: |
| | | res.append( |
| | | { |
| | | "text": sentence_text, |
| | | "start": sentence_start, |
| | | "end": sentence_end, |
| | | "timestamp": ts_list, |
| | | "raw_text": sentence_text_seg, |
| | | } |
| | | ) |
| | | else: |
| | | res.append( |
| | | { |
| | | "text": sentence_text, |
| | | "start": sentence_start, |
| | | "end": sentence_end, |
| | | "timestamp": ts_list, |
| | | } |
| | | ) |
| | | sentence_text = "" |
| | | sentence_text_seg = "" |
| | | ts_list = [] |
| | | return res |