add scripts for simu data

egs/mars/sd/scripts/dump_rttm_to_labels.py

@@ -37,18 +37,22 @@ class MyRunner(MultiProcessRunnerV3):
             common_keys = set(meeting_scp.keys()) & set(meeting2rttm.keys())
             logging.warning("Keep {} records.".format(len(common_keys)))
             new_meeting_scp = OrderedDict()
+            rm_keys = []
             for key in meeting_scp:
                 if key not in common_keys:
-                    logging.warning("Pop {} from wav scp".format(key))
+                    rm_keys.append(key)
                 else:
                     new_meeting_scp[key] = meeting_scp[key]
+            logging.warning("Keys are removed from wav scp:", " ".format(rm_keys))
+
             new_meeting2rttm = OrderedDict()
+            rm_keys = []
             for key in meeting2rttm:
                 if key not in common_keys:
-                    logging.warning("Pop {} from rttm scp".format(key))
+                    rm_keys.append(key)
                 else:
                     new_meeting2rttm[key] = meeting2rttm[key]
-
+            logging.warning("Keys are removed from rttm scp:", " ".format(rm_keys))
             meeting_scp, meeting2rttm = new_meeting_scp, new_meeting2rttm
         if not os.path.exists(args.out_dir):
             os.makedirs(args.out_dir)

egs/mars/sd/scripts/extract_nonoverlap_segments_v2.py

@@ -0,0 +1,119 @@
+import numpy as np
+import os
+import sys
+import argparse
+from funasr.utils.job_runner import MultiProcessRunnerV3
+from funasr.utils.misc import load_scp_as_list, load_scp_as_dict
+import librosa
+import soundfile as sf
+from copy import deepcopy
+import json
+from tqdm import tqdm
+
+
+class MyRunner(MultiProcessRunnerV3):
+    def prepare(self, parser):
+        assert isinstance(parser, argparse.ArgumentParser)
+        parser.add_argument("wav_scp", type=str)
+        parser.add_argument("rttm", type=str)
+        parser.add_argument("out_dir", type=str)
+        parser.add_argument("--min_dur", type=float, default=2.0)
+        parser.add_argument("--max_spk_num", type=int, 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)
+        meeting2rttms = {}
+        for one_line in open(args.rttm, "rt"):
+            parts = [x for x in one_line.strip().split(" ") if x != ""]
+            mid, st, dur, spk_name = parts[1], float(parts[3]), float(parts[4]), parts[7]
+            if mid not in meeting2rttms:
+                meeting2rttms[mid] = []
+            meeting2rttms[mid].append(one_line)
+
+        task_list = [(mid, wav_path, meeting2rttms[mid]) for (mid, wav_path) in wav_scp]
+        return task_list, None, args
+
+    def post(self, result_list, args):
+        count = [0, 0]
+        for result in result_list:
+            count[0] += result[0]
+            count[1] += result[1]
+        print("Found {} speakers, extracted {}.".format(count[1], count[0]))
+
+
+# SPEAKER R8001_M8004_MS801 1 6.90 11.39 <NA> <NA> 1 <NA> <NA>
+def calc_multi_label(rttms, length, sr=8000, max_spk_num=4):
+    labels = np.zeros([max_spk_num, length], int)
+    spk_list = []
+    for one_line in rttms:
+        parts = [x for x in one_line.strip().split(" ") if x != ""]
+        mid, st, dur, spk_name = parts[1], float(parts[3]), float(parts[4]), parts[7]
+        spk_name = spk_name.replace("spk", "").replace(mid, "").replace("-", "")
+        if spk_name.isdigit():
+            spk_name = "{}_S{:03d}".format(mid, int(spk_name))
+        else:
+            spk_name = "{}_{}".format(mid, spk_name)
+        if spk_name not in spk_list:
+            spk_list.append(spk_name)
+        st, dur = int(st*sr), int(dur*sr)
+        idx = spk_list.index(spk_name)
+        labels[idx, st:st+dur] = 1
+    return labels, spk_list
+
+
+def get_nonoverlap_turns(multi_label, spk_list):
+    turns = []
+    label = np.sum(multi_label, axis=0) == 1
+    spk, in_turn, st = None, False, 0
+    for i in range(len(label)):
+        if not in_turn and label[i]:
+            st, in_turn = i, True
+            spk = spk_list[np.argmax(multi_label[:, i], axis=0)]
+        if in_turn:
+            if not label[i]:
+                in_turn = False
+                turns.append([st, i, spk])
+            elif label[i] and spk != spk_list[np.argmax(multi_label[:, i], axis=0)]:
+                turns.append([st, i, spk])
+                st, in_turn = i, True
+                spk = spk_list[np.argmax(multi_label[:, i], axis=0)]
+    if in_turn:
+        turns.append([st, len(label), spk])
+    return turns
+
+
+def process(task_args):
+    task_id, task_list, _, args = task_args
+    spk_count = [0, 0]
+    for mid, wav_path, rttms in task_list:
+        wav, sr = sf.read(wav_path, dtype="int16")
+        assert sr == args.sr, "args.sr {}, file sr {}".format(args.sr, sr)
+        multi_label, spk_list = calc_multi_label(rttms, len(wav), args.sr, args.max_spk_num)
+        turns = get_nonoverlap_turns(multi_label, spk_list)
+        extracted_spk = []
+        count = 1
+        for st, ed, spk in tqdm(turns, total=len(turns), ascii=True, disable=args.no_pbar):
+            if (ed - st) >= args.min_dur * args.sr:
+                seg = wav[st: ed]
+                save_path = os.path.join(args.out_dir, mid, spk, "{}_U{:04d}.wav".format(spk, count))
+                if not os.path.exists(os.path.dirname(save_path)):
+                    os.makedirs(os.path.dirname(save_path))
+                sf.write(save_path, seg.astype(np.int16), args.sr, "PCM_16", "LITTLE", "WAV", True)
+                count += 1
+                if spk not in extracted_spk:
+                    extracted_spk.append(spk)
+        if len(extracted_spk) != len(spk_list):
+            print("{}: Found {} speakers, but only extracted {}. {} are filtered due to min_dur".format(
+                mid, len(spk_list), len(extracted_spk), " ".join([x for x in spk_list if x not in extracted_spk])
+            ))
+        spk_count[0] += len(extracted_spk)
+        spk_count[1] += len(spk_list)
+    return spk_count
+
+
+if __name__ == '__main__':
+    my_runner = MyRunner(process)
+    my_runner.run()