sond pipeline

egs/mars/sd/scripts/real_meeting_process/clip_meeting_without_silence.py

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+import numpy as np
+from funasr.utils.job_runner import MultiProcessRunnerV3
+from funasr.utils.misc import load_scp_as_list, load_scp_as_dict
+import os
+import librosa
+import soundfile as sf
+from tqdm import tqdm
+import argparse
+
+
+class MyRunner(MultiProcessRunnerV3):
+
+    def prepare(self, parser):
+        parser.add_argument("wav_scp", type=str)
+        parser.add_argument("out_dir", type=str)
+        parser.add_argument("--chunk_dur", type=float, default=16)
+        parser.add_argument("--shift_dur", type=float, default=4)
+        args = parser.parse_args()
+
+        if not os.path.exists(args.out_dir):
+            os.makedirs(args.out_dir)
+
+        wav_scp = load_scp_as_list(args.wav_scp)
+        return wav_scp, None, args
+
+    def post(self, results_list, args):
+        pass
+
+
+def process(task_args):
+    _, task_list, _, args = task_args
+    chunk_len, shift_len = int(args.chunk_dur * args.sr), int(args.shift_dur * args.sr)
+    for mid, wav_path in tqdm(task_list, total=len(task_list), ascii=True, disable=args.no_pbar):
+        if not os.path.exists(os.path.join(args.out_dir, mid)):
+            os.makedirs(os.path.join(args.out_dir, mid))
+
+        wav = librosa.load(wav_path, args.sr, True)[0] * 32767
+        n_chunk = (len(wav) - chunk_len) // shift_len + 1
+        if (len(wav) - chunk_len) % shift_len > 0:
+            n_chunk += 1
+        for i in range(n_chunk):
+            seg = wav[i*shift_len: i*shift_len + chunk_len]
+            st = int(float(i*shift_len)/args.sr * 100)
+            dur = int(float(len(seg))/args.sr * 100)
+            file_name = "{}_S{:04d}_{:07d}_{:07d}.wav".format(mid, i, st, st+dur)
+            save_path = os.path.join(args.out_dir, mid, file_name)
+            sf.write(save_path, seg.astype(np.int16), args.sr, "PCM_16", "LITTLE", "WAV", True)
+    return None
+
+
+if __name__ == '__main__':
+    my_runner = MyRunner(process)
+    my_runner.run()

egs/mars/sd/scripts/real_meeting_process/dump_real_meeting_chunks.py

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+import soundfile
+import kaldiio
+from tqdm import tqdm
+import json
+import os
+from funasr.utils.misc import load_scp_as_list, load_scp_as_dict
+import numpy as np
+import argparse
+import random
+
+short_spk_list = []
+def calc_rand_ivc(spk, spk2utt, utt2ivc, utt2frames, total_len=3000):
+    all_utts = spk2utt[spk]
+    idx_list = list(range(len(all_utts)))
+    random.shuffle(idx_list)
+    count = 0
+    utt_list = []
+    for i in idx_list:
+        utt_id = all_utts[i]
+        utt_list.append(utt_id)
+        count += int(utt2frames[utt_id])
+        if count >= total_len:
+            break
+    if count < 300 and spk not in short_spk_list:
+        print("Speaker {} has only {} frames, but expect {} frames at least, use them all.".format(spk, count, 300))
+        short_spk_list.append(spk)
+
+    ivc_list = [kaldiio.load_mat(utt2ivc[utt])[np.newaxis, :] for utt in utt_list]
+    ivc = np.concatenate(ivc_list, axis=0)
+    ivc = np.mean(ivc, axis=0, keepdims=False)
+    return ivc
+
+
+def process(meeting_scp, labels_scp, spk2utt, utt2xvec, utt2frames, meeting2spk_list, args):
+    out_prefix = args.out
+
+    ivc_dim = 512
+    win_len, win_shift = 400, 160
+    label_weights = 2 ** np.array(list(range(args.n_spk)))
+    wav_writer = kaldiio.WriteHelper("ark,scp:{}_wav.ark,{}_wav.scp".format(out_prefix, out_prefix))
+    ivc_writer = kaldiio.WriteHelper("ark,scp:{}_profile.ark,{}_profile.scp".format(out_prefix, out_prefix))
+    label_writer = kaldiio.WriteHelper("ark,scp:{}_label.ark,{}_label.scp".format(out_prefix, out_prefix))
+
+
+    frames_list = []
+    chunk_size = int(args.chunk_size * args.sr)
+    chunk_shift = int(args.chunk_shift * args.sr)
+    for mid, meeting_wav_path in tqdm(meeting_scp, total=len(meeting_scp), ascii=True, disable=args.no_pbar):
+        meeting_wav, sr = soundfile.read(meeting_wav_path, dtype='float32')
+        num_chunk = (len(meeting_wav) - chunk_size) // chunk_shift + 1
+        meeting_labels = np.load(labels_scp[mid])
+        for i in range(num_chunk):
+            st, ed = i*chunk_shift, i*chunk_shift+chunk_size
+            seg_id = "{}-{:03d}-{:06d}-{:06d}".format(mid, i, int(st/args.sr*100), int(ed/args.sr*100))
+            wav_writer(seg_id, meeting_wav[st: ed])
+
+            xvec_list = []
+            for spk in meeting2spk_list[mid]:
+                spk_xvec = calc_rand_ivc(spk, spk2utt, utt2xvec, utt2frames, 1000)[np.newaxis, :]
+                xvec_list.append(spk_xvec)
+            for _ in range(args.n_spk - len(xvec_list)):
+                xvec_list.append(np.zeros((ivc_dim,), dtype=np.float32))
+            xvec = np.row_stack(xvec_list)
+            ivc_writer(seg_id, xvec)
+
+            wav_label = meeting_labels[st:ed, :]
+            frame_num = (ed-st) // win_shift
+            # wav_label = np.pad(wav_label, ((win_len/2, win_len/2), (0, 0)), "constant")
+            feat_label = np.zeros((frame_num, wav_label.shape[1]), dtype=int)
+            for i in range(frame_num):
+                frame_label = wav_label[i*win_shift: (i+1)*win_shift, :]
+                feat_label[i, :] = (np.sum(frame_label, axis=0) > 0).astype(int)
+            label_writer(seg_id, feat_label)
+
+            frames_list.append((mid, feat_label.shape[0]))
+    return frames_list
+
+
+def calc_spk_list(rttm_path):
+    spk_list = []
+    for one_line in open(rttm_path, "rt"):
+        parts = one_line.strip().split(" ")
+        mid, st, dur, spk = parts[1], float(parts[3]), float(parts[4]), int(parts[7])
+        spk = "{}_S{:03d}".format(mid, spk)
+        if spk not in spk_list:
+            spk_list.append(spk)
+
+    return spk_list
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dir", required=True, type=str, default=None,
+                        help="feats.scp")
+    parser.add_argument("--out", required=True, type=str, default=None,
+                        help="The prefix of dumpped files.")
+    parser.add_argument("--n_spk", type=int, default=4)
+    parser.add_argument("--use_lfr", default=False, action="store_true")
+    parser.add_argument("--no_pbar", default=False, action="store_true")
+    parser.add_argument("--sr", type=int, default=16000)
+    parser.add_argument("--chunk_size", type=int, default=16)
+    parser.add_argument("--chunk_shift", type=int, default=4)
+    args = parser.parse_args()
+
+    if not os.path.exists(os.path.dirname(args.out)):
+        os.makedirs(os.path.dirname(args.out))
+
+    meetings_scp = load_scp_as_list(os.path.join(args.dir, "meetings_rmsil.scp"))
+    labels_scp = load_scp_as_dict(os.path.join(args.dir, "labels.scp"))
+    rttm_scp = load_scp_as_list(os.path.join(args.dir, "rttm.scp"))
+    utt2spk = load_scp_as_dict(os.path.join(args.dir, "utt2spk"))
+    utt2xvec = load_scp_as_dict(os.path.join(args.dir, "utt2xvec"))
+    utt2wav = load_scp_as_dict(os.path.join(args.dir, "wav.scp"))
+    utt2frames = {}
+    for uttid, wav_path in utt2wav.items():
+        wav, sr = soundfile.read(wav_path, dtype="int16")
+        utt2frames[uttid] = int(len(wav) / sr * 100)
+
+    meeting2spk_list = {}
+    for mid, rttm_path in rttm_scp:
+        meeting2spk_list[mid] = calc_spk_list(rttm_path)
+
+    spk2utt = {}
+    for utt, spk in utt2spk.items():
+        if utt in utt2xvec and utt in utt2frames and int(utt2frames[utt]) > 25:
+            if spk not in spk2utt:
+                spk2utt[spk] = []
+            spk2utt[spk].append(utt)
+
+    # random.shuffle(feat_scp)
+    meeting_lens = process(meetings_scp, labels_scp, spk2utt, utt2xvec, utt2frames, meeting2spk_list, args)
+    total_frames = sum([x[1] for x in meeting_lens])
+    print("Total chunks: {:6d}, total frames: {:10d}".format(len(meeting_lens), total_frames))
+
+
+if __name__ == '__main__':
+    main()