diff --git a/egs/mars/sd/scripts/dump_rttm_to_labels.py b/egs/mars/sd/scripts/dump_rttm_to_labels.py
new file mode 100644
index 000000000..b4508ec7f
--- /dev/null
+++ b/egs/mars/sd/scripts/dump_rttm_to_labels.py
@@ -0,0 +1,120 @@
+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()