| New file |
| | |
| | | import logging |
| | | import numpy as np |
| | | import soundfile |
| | | import kaldiio |
| | | from funasr.utils.job_runner import MultiProcessRunnerV3 |
| | | from funasr.utils.misc import load_scp_as_list, load_scp_as_dict |
| | | import os |
| | | import argparse |
| | | from collections import OrderedDict |
| | | |
| | | |
| | | class MyRunner(MultiProcessRunnerV3): |
| | | |
| | | def prepare(self, parser: argparse.ArgumentParser): |
| | | parser.add_argument("--rttm_list", type=str, required=True) |
| | | parser.add_argument("--wav_scp_list", type=str, required=True) |
| | | parser.add_argument("--out_dir", type=str, required=True) |
| | | parser.add_argument("--n_spk", type=int, default=8) |
| | | parser.add_argument("--remove_sil", default=False, action="store_true") |
| | | parser.add_argument("--max_overlap", default=0, type=int) |
| | | parser.add_argument("--frame_shift", type=float, default=0.01) |
| | | args = parser.parse_args() |
| | | |
| | | rttm_list = [x.strip() for x in open(args.rttm_list, "rt", encoding="utf-8").readlines()] |
| | | meeting2rttm = OrderedDict() |
| | | for rttm_path in rttm_list: |
| | | meeting2rttm.update(self.load_rttm(rttm_path)) |
| | | |
| | | wav_scp_list = [x.strip() for x in open(args.wav_scp_list, "rt", encoding="utf-8").readlines()] |
| | | meeting_scp = OrderedDict() |
| | | for scp_path in wav_scp_list: |
| | | meeting_scp.update(load_scp_as_dict(scp_path)) |
| | | |
| | | assert len(meeting_scp) == len(meeting2rttm), \ |
| | | "Number of wav and rttm mismatch {} != {}".format(len(meeting_scp), len(meeting2rttm)) |
| | | |
| | | if not os.path.exists(args.out_dir): |
| | | os.makedirs(args.out_dir) |
| | | |
| | | task_list = [(mid, meeting_scp[mid], meeting2rttm[mid]) for mid in meeting2rttm.keys()] |
| | | return task_list, None, args |
| | | |
| | | @staticmethod |
| | | def load_rttm(rttm_path): |
| | | meeting2rttm = OrderedDict() |
| | | for one_line in open(rttm_path, "rt", encoding="utf-8"): |
| | | mid = one_line.strip().split(" ")[1] |
| | | if mid not in meeting2rttm: |
| | | meeting2rttm[mid] = [] |
| | | meeting2rttm[mid].append(one_line.strip()) |
| | | |
| | | return meeting2rttm |
| | | |
| | | def post(self, results_list, args): |
| | | pass |
| | | |
| | | |
| | | def calc_labels(spk_turns, spk_list, length, n_spk, remove_sil=False, max_overlap=0, |
| | | sr=None, frame_shift=0.01): |
| | | frame_shift = int(frame_shift * sr) |
| | | num_frame = int((float(length) + (float(frame_shift) / 2)) / frame_shift) |
| | | multi_label = np.zeros([n_spk, num_frame], dtype=int) |
| | | for _, st, dur, spk in spk_turns: |
| | | idx = spk_list.index(spk) |
| | | |
| | | st, dur = int(st * sr), int(dur * sr) |
| | | frame_st = int((float(st) + (float(frame_shift) / 2)) / frame_shift) |
| | | frame_ed = int((float(st+dur) + (float(frame_shift) / 2)) / frame_shift) |
| | | multi_label[idx, frame_st:frame_ed] = 1 |
| | | |
| | | if remove_sil: |
| | | speech_count = np.sum(multi_label, axis=0) |
| | | idx = np.nonzero(speech_count)[0] |
| | | multi_label = multi_label[:, idx] |
| | | |
| | | if max_overlap > 0: |
| | | speech_count = np.sum(multi_label, axis=0) |
| | | idx = np.nonzero(speech_count <= max_overlap)[0] |
| | | multi_label = multi_label[:, idx] |
| | | |
| | | label = multi_label.T |
| | | return label # (T, N) |
| | | |
| | | |
| | | def build_labels(wav_path, rttms, n_spk, remove_sil=False, max_overlap=0, |
| | | sr=16000, frame_shift=0.01): |
| | | wav, sr = soundfile.read(wav_path) |
| | | wav_len = len(wav) |
| | | spk_turns = [] |
| | | spk_list = [] |
| | | for one_line in rttms: |
| | | parts = one_line.strip().split(" ") |
| | | mid, st, dur, spk = parts[1], float(parts[3]), float(parts[4]), parts[7] |
| | | if spk not in spk_list: |
| | | spk_list.append(spk) |
| | | spk_turns.append((mid, st, dur, spk)) |
| | | labels = calc_labels(spk_turns, spk_list, wav_len, n_spk, remove_sil, max_overlap, sr, frame_shift) |
| | | return labels, spk_list |
| | | |
| | | |
| | | def process(task_args): |
| | | task_idx, task_list, _, args = task_args |
| | | spk_list_writer = open(os.path.join(args.out_dir, "spk_list.{}.txt".format(task_idx+1)), |
| | | "wt", encoding="utf-8") |
| | | out_path = os.path.join(args.out_dir, "labels.{}".format(task_idx + 1)) |
| | | label_writer = kaldiio.WriteHelper('ark,scp:{}.ark,{}.scp'.format(out_path, out_path)) |
| | | for mid, wav_path, rttms in task_list: |
| | | meeting_labels, spk_list = build_labels(wav_path, rttms, args.n_spk, args.remove_sil, args.max_overlap, |
| | | args.sr, args.frame_shift) |
| | | label_writer(mid, meeting_labels) |
| | | spk_list_writer.write("{} {}\n".format(mid, " ".join(spk_list))) |
| | | |
| | | spk_list_writer.close() |
| | | label_writer.close() |
| | | return None |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | my_runner = MyRunner(process) |
| | | my_runner.run() |