From 6494a503f4ce11634cfd42d562011541b1e4ebf9 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 18 七月 2023 14:55:24 +0800
Subject: [PATCH] update

---
 egs/callhome/eend_ola/local/random_mixture.py         |  145 ++++++
 egs/callhome/eend_ola/local/make_callhome.sh          |   73 +++
 egs/callhome/sond/sond.yaml                           |    0 
 egs/callhome/eend_ola/local/make_musan.sh             |   37 +
 egs/callhome/eend_ola/local/make_mixture.py           |  120 +++++
 egs/callhome/eend_ola/local/make_sre.sh               |   48 ++
 egs/callhome/sond/sond_fbank.yaml                     |    0 
 egs/callhome/eend_ola/local/make_swbd_cellular2.pl    |   83 +++
 egs/callhome/eend_ola/local/make_swbd_cellular1.pl    |   83 +++
 egs/callhome/eend_ola/local/make_sre.pl               |   63 ++
 egs/callhome/eend_ola/run.sh                          |   25 
 egs/callhome/eend_ola/local/run_prepare_shared_eda.sh |  235 ++++++++++
 egs/callhome/eend_ola/path.sh                         |    7 
 egs/callhome/eend_ola/local/make_musan.py             |  123 +++++
 egs/callhome/eend_ola/local/run_blstm.sh              |    9 
 egs/callhome/eend_ola/local/make_swbd2_phase3.pl      |  102 ++++
 egs/callhome/sond/unit_test.py                        |    0 
 egs/callhome/eend_ola/local/make_swbd2_phase1.pl      |  106 ++++
 egs/callhome/eend_ola/local/make_swbd2_phase2.pl      |  107 ++++
 19 files changed, 1,361 insertions(+), 5 deletions(-)

diff --git a/egs/callhome/eend_ola/local/make_callhome.sh b/egs/callhome/eend_ola/local/make_callhome.sh
new file mode 100644
index 0000000..caa8f67
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_callhome.sh
@@ -0,0 +1,73 @@
+#!/bin/bash
+# Copyright 2017   David Snyder
+# Apache 2.0.
+#
+# This script prepares the Callhome portion of the NIST SRE 2000
+# corpus (LDC2001S97). It is the evaluation dataset used in the
+# callhome_diarization recipe.
+
+if [ $# -ne 2 ]; then
+  echo "Usage: $0 <callhome-speech> <out-data-dir>"
+  echo "e.g.: $0 /mnt/data/LDC2001S97 data/"
+  exit 1;
+fi
+
+src_dir=$1
+data_dir=$2
+
+tmp_dir=$data_dir/callhome/.tmp/
+mkdir -p $tmp_dir
+
+# Download some metadata that wasn't provided in the LDC release
+if [ ! -d "$tmp_dir/sre2000-key" ]; then
+  wget --no-check-certificate -P $tmp_dir/ \
+    http://www.openslr.org/resources/10/sre2000-key.tar.gz
+  tar -xvf $tmp_dir/sre2000-key.tar.gz -C $tmp_dir/
+fi
+
+# The list of 500 recordings
+awk '{print $1}' $tmp_dir/sre2000-key/reco2num > $tmp_dir/reco.list
+
+# Create wav.scp file
+count=0
+missing=0
+while read reco; do
+  path=$(find $src_dir -name "$reco.sph")
+  if [ -z "${path// }" ]; then
+    >&2 echo "$0: Missing Sphere file for $reco"
+    missing=$((missing+1))
+  else
+    echo "$reco sph2pipe -f wav -p $path |"
+  fi
+  count=$((count+1))
+done < $tmp_dir/reco.list > $data_dir/callhome/wav.scp
+
+if [ $missing -gt 0 ]; then
+  echo "$0: Missing $missing out of $count recordings"
+fi
+
+cp $tmp_dir/sre2000-key/segments $data_dir/callhome/
+awk '{print $1, $2}' $data_dir/callhome/segments > $data_dir/callhome/utt2spk
+utils/utt2spk_to_spk2utt.pl $data_dir/callhome/utt2spk > $data_dir/callhome/spk2utt
+cp $tmp_dir/sre2000-key/reco2num $data_dir/callhome/reco2num_spk
+cp $tmp_dir/sre2000-key/fullref.rttm $data_dir/callhome/
+
+utils/validate_data_dir.sh --no-text --no-feats $data_dir/callhome
+utils/fix_data_dir.sh $data_dir/callhome
+
+utils/copy_data_dir.sh $data_dir/callhome $data_dir/callhome1
+utils/copy_data_dir.sh $data_dir/callhome $data_dir/callhome2
+
+utils/shuffle_list.pl $data_dir/callhome/wav.scp | head -n 250 \
+  | utils/filter_scp.pl - $data_dir/callhome/wav.scp \
+  > $data_dir/callhome1/wav.scp
+utils/fix_data_dir.sh $data_dir/callhome1
+utils/filter_scp.pl --exclude $data_dir/callhome1/wav.scp \
+  $data_dir/callhome/wav.scp > $data_dir/callhome2/wav.scp
+utils/fix_data_dir.sh $data_dir/callhome2
+utils/filter_scp.pl $data_dir/callhome1/wav.scp $data_dir/callhome/reco2num_spk \
+  > $data_dir/callhome1/reco2num_spk
+utils/filter_scp.pl $data_dir/callhome2/wav.scp $data_dir/callhome/reco2num_spk \
+  > $data_dir/callhome2/reco2num_spk
+
+rm -rf $tmp_dir 2> /dev/null
diff --git a/egs/callhome/eend_ola/local/make_mixture.py b/egs/callhome/eend_ola/local/make_mixture.py
new file mode 100644
index 0000000..82d03cd
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_mixture.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+
+# Copyright 2019 Hitachi, Ltd. (author: Yusuke Fujita)
+# Licensed under the MIT license.
+#
+# This script generates simulated multi-talker mixtures for diarization
+#
+# common/make_mixture.py \
+#     mixture.scp \
+#     data/mixture \
+#     wav/mixture
+
+
+import argparse
+import os
+from eend import kaldi_data
+import numpy as np
+import math
+import soundfile as sf
+import json
+
+parser = argparse.ArgumentParser()
+parser.add_argument('script',
+                    help='list of json')
+parser.add_argument('out_data_dir',
+                    help='output data dir of mixture')
+parser.add_argument('out_wav_dir',
+                    help='output mixture wav files are stored here')
+parser.add_argument('--rate', type=int, default=16000,
+                    help='sampling rate')
+args = parser.parse_args()
+
+# open output data files
+segments_f = open(args.out_data_dir + '/segments', 'w')
+utt2spk_f = open(args.out_data_dir + '/utt2spk', 'w')
+wav_scp_f = open(args.out_data_dir + '/wav.scp', 'w')
+
+# "-R" forces the default random seed for reproducibility
+resample_cmd = "sox -R -t wav - -t wav - rate {}".format(args.rate)
+
+for line in open(args.script):
+    recid, jsonstr = line.strip().split(None, 1)
+    indata = json.loads(jsonstr)
+    wavfn = indata['recid']
+    # recid now include out_wav_dir
+    recid = os.path.join(args.out_wav_dir, wavfn).replace('/','_')
+    noise = indata['noise']
+    noise_snr = indata['snr']
+    mixture = []
+    for speaker in indata['speakers']:
+        spkid = speaker['spkid']
+        utts = speaker['utts']
+        intervals = speaker['intervals']
+        rir = speaker['rir']
+        data = []
+        pos = 0
+        for interval, utt in zip(intervals, utts):
+            # append silence interval data
+            silence = np.zeros(int(interval * args.rate))
+            data.append(silence)
+            # utterance is reverberated using room impulse response
+            preprocess = "wav-reverberate --print-args=false " \
+                         " --impulse-response={} - -".format(rir)
+            if isinstance(utt, list):
+                rec, st, et = utt
+                st = np.rint(st * args.rate).astype(int)
+                et = np.rint(et * args.rate).astype(int)
+            else:
+                rec = utt
+                st = 0
+                et = None
+            if rir is not None:
+                wav_rxfilename = kaldi_data.process_wav(rec, preprocess)
+            else:
+                wav_rxfilename = rec
+            wav_rxfilename = kaldi_data.process_wav(
+                    wav_rxfilename, resample_cmd)
+            speech, _ = kaldi_data.load_wav(wav_rxfilename, st, et)
+            data.append(speech)
+            # calculate start/end position in samples
+            startpos = pos + len(silence)
+            endpos = startpos + len(speech)
+            # write segments and utt2spk
+            uttid = '{}_{}_{:07d}_{:07d}'.format(
+                    spkid, recid, int(startpos / args.rate * 100),
+                    int(endpos / args.rate * 100))
+            print(uttid, recid,
+                  startpos / args.rate, endpos / args.rate, file=segments_f)
+            print(uttid, spkid, file=utt2spk_f)
+            # update position for next utterance
+            pos = endpos
+        data = np.concatenate(data)
+        mixture.append(data)
+
+    # fitting to the maximum-length speaker data, then mix all speakers
+    maxlen = max(len(x) for x in mixture)
+    mixture = [np.pad(x, (0, maxlen - len(x)), 'constant') for x in mixture]
+    mixture = np.sum(mixture, axis=0)
+    # noise is repeated or cutted for fitting to the mixture data length
+    noise_resampled = kaldi_data.process_wav(noise, resample_cmd)
+    noise_data, _ = kaldi_data.load_wav(noise_resampled)
+    if maxlen > len(noise_data):
+        noise_data = np.pad(noise_data, (0, maxlen - len(noise_data)), 'wrap')
+    else:
+        noise_data = noise_data[:maxlen]
+    # noise power is scaled according to selected SNR, then mixed
+    signal_power = np.sum(mixture**2) / len(mixture)
+    noise_power = np.sum(noise_data**2) / len(noise_data)
+    scale = math.sqrt(
+                math.pow(10, - noise_snr / 10) * signal_power / noise_power)
+    mixture += noise_data * scale
+    # output the wav file and write wav.scp
+    outfname = '{}.wav'.format(wavfn)
+    outpath = os.path.join(args.out_wav_dir, outfname)
+    sf.write(outpath, mixture, args.rate)
+    print(recid, os.path.abspath(outpath), file=wav_scp_f)
+
+wav_scp_f.close()
+segments_f.close()
+utt2spk_f.close()
diff --git a/egs/callhome/eend_ola/local/make_musan.py b/egs/callhome/eend_ola/local/make_musan.py
new file mode 100644
index 0000000..833da06
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_musan.py
@@ -0,0 +1,123 @@
+#!/usr/bin/env python3
+# Copyright 2015   David Snyder
+#           2018   Ewald Enzinger
+# Apache 2.0.
+#
+# Modified version of egs/sre16/v1/local/make_musan.py (commit e3fb7c4a0da4167f8c94b80f4d3cc5ab4d0e22e8).
+# This version uses the raw MUSAN audio files (16 kHz) and does not use sox to resample at 8 kHz.
+#
+# This file is meant to be invoked by make_musan.sh.
+
+import os, sys
+
+def process_music_annotations(path):
+  utt2spk = {}
+  utt2vocals = {}
+  lines = open(path, 'r').readlines()
+  for line in lines:
+    utt, genres, vocals, musician = line.rstrip().split()[:4]
+    # For this application, the musican ID isn't important
+    utt2spk[utt] = utt
+    utt2vocals[utt] = vocals == "Y"
+  return utt2spk, utt2vocals
+
+def prepare_music(root_dir, use_vocals):
+  utt2vocals = {}
+  utt2spk = {}
+  utt2wav = {}
+  num_good_files = 0
+  num_bad_files = 0
+  music_dir = os.path.join(root_dir, "music")
+  for root, dirs, files in os.walk(music_dir):
+    for file in files:
+      file_path = os.path.join(root, file)
+      if file.endswith(".wav"):
+        utt = str(file).replace(".wav", "")
+        utt2wav[utt] = file_path
+      elif str(file) == "ANNOTATIONS":
+        utt2spk_part, utt2vocals_part = process_music_annotations(file_path)
+        utt2spk.update(utt2spk_part)
+        utt2vocals.update(utt2vocals_part)
+  utt2spk_str = ""
+  utt2wav_str = ""
+  for utt in utt2vocals:
+    if utt in utt2wav:
+      if use_vocals or not utt2vocals[utt]:
+        utt2spk_str = utt2spk_str + utt + " " + utt2spk[utt] + "\n"
+        utt2wav_str = utt2wav_str + utt + " " + utt2wav[utt] + "\n"
+      num_good_files += 1
+    else:
+      print("Missing file {}".format(utt))
+      num_bad_files += 1
+  print("In music directory, processed {} files: {} had missing wav data".format(num_good_files, num_bad_files))
+  return utt2spk_str, utt2wav_str
+
+def prepare_speech(root_dir):
+  utt2spk = {}
+  utt2wav = {}
+  num_good_files = 0
+  num_bad_files = 0
+  speech_dir = os.path.join(root_dir, "speech")
+  for root, dirs, files in os.walk(speech_dir):
+    for file in files:
+      file_path = os.path.join(root, file)
+      if file.endswith(".wav"):
+        utt = str(file).replace(".wav", "")
+        utt2wav[utt] = file_path
+        utt2spk[utt] = utt
+  utt2spk_str = ""
+  utt2wav_str = ""
+  for utt in utt2spk:
+    if utt in utt2wav:
+      utt2spk_str = utt2spk_str + utt + " " + utt2spk[utt] + "\n"
+      utt2wav_str = utt2wav_str + utt + " " + utt2wav[utt] + "\n"
+      num_good_files += 1
+    else:
+      print("Missing file {}".format(utt))
+      num_bad_files += 1
+  print("In speech directory, processed {} files: {} had missing wav data".format(num_good_files, num_bad_files))
+  return utt2spk_str, utt2wav_str
+
+def prepare_noise(root_dir):
+  utt2spk = {}
+  utt2wav = {}
+  num_good_files = 0
+  num_bad_files = 0
+  noise_dir = os.path.join(root_dir, "noise")
+  for root, dirs, files in os.walk(noise_dir):
+    for file in files:
+      file_path = os.path.join(root, file)
+      if file.endswith(".wav"):
+        utt = str(file).replace(".wav", "")
+        utt2wav[utt] = file_path
+        utt2spk[utt] = utt
+  utt2spk_str = ""
+  utt2wav_str = ""
+  for utt in utt2spk:
+    if utt in utt2wav:
+      utt2spk_str = utt2spk_str + utt + " " + utt2spk[utt] + "\n"
+      utt2wav_str = utt2wav_str + utt + " " + utt2wav[utt] + "\n"
+      num_good_files += 1
+    else:
+      print("Missing file {}".format(utt))
+      num_bad_files += 1
+  print("In noise directory, processed {} files: {} had missing wav data".format(num_good_files, num_bad_files))
+  return utt2spk_str, utt2wav_str
+
+def main():
+  in_dir = sys.argv[1]
+  out_dir = sys.argv[2]
+  use_vocals = sys.argv[3] == "Y"
+  utt2spk_music, utt2wav_music = prepare_music(in_dir, use_vocals)
+  utt2spk_speech, utt2wav_speech = prepare_speech(in_dir)
+  utt2spk_noise, utt2wav_noise = prepare_noise(in_dir)
+  utt2spk = utt2spk_speech + utt2spk_music + utt2spk_noise
+  utt2wav = utt2wav_speech + utt2wav_music + utt2wav_noise
+  wav_fi = open(os.path.join(out_dir, "wav.scp"), 'w')
+  wav_fi.write(utt2wav)
+  utt2spk_fi = open(os.path.join(out_dir, "utt2spk"), 'w')
+  utt2spk_fi.write(utt2spk)
+
+
+if __name__=="__main__":
+  main()
diff --git a/egs/callhome/eend_ola/local/make_musan.sh b/egs/callhome/eend_ola/local/make_musan.sh
new file mode 100644
index 0000000..694940a
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_musan.sh
@@ -0,0 +1,37 @@
+#!/bin/bash
+# Copyright 2015   David Snyder
+# Apache 2.0.
+#
+# This script, called by ../run.sh, creates the MUSAN
+# data directory. The required dataset is freely available at
+#   http://www.openslr.org/17/
+
+set -e
+in_dir=$1
+data_dir=$2
+use_vocals='Y'
+
+mkdir -p local/musan.tmp
+
+echo "Preparing ${data_dir}/musan..."
+mkdir -p ${data_dir}/musan
+local/make_musan.py ${in_dir} ${data_dir}/musan ${use_vocals}
+
+utils/fix_data_dir.sh ${data_dir}/musan
+
+grep "music" ${data_dir}/musan/utt2spk > local/musan.tmp/utt2spk_music
+grep "speech" ${data_dir}/musan/utt2spk > local/musan.tmp/utt2spk_speech
+grep "noise" ${data_dir}/musan/utt2spk > local/musan.tmp/utt2spk_noise
+utils/subset_data_dir.sh --utt-list local/musan.tmp/utt2spk_music \
+  ${data_dir}/musan ${data_dir}/musan_music
+utils/subset_data_dir.sh --utt-list local/musan.tmp/utt2spk_speech \
+  ${data_dir}/musan ${data_dir}/musan_speech
+utils/subset_data_dir.sh --utt-list local/musan.tmp/utt2spk_noise \
+  ${data_dir}/musan ${data_dir}/musan_noise
+
+utils/fix_data_dir.sh ${data_dir}/musan_music
+utils/fix_data_dir.sh ${data_dir}/musan_speech
+utils/fix_data_dir.sh ${data_dir}/musan_noise
+
+rm -rf local/musan.tmp
+
diff --git a/egs/callhome/eend_ola/local/make_sre.pl b/egs/callhome/eend_ola/local/make_sre.pl
new file mode 100644
index 0000000..b86fa7e
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_sre.pl
@@ -0,0 +1,63 @@
+#!/usr/bin/perl
+#
+# Copyright 2015   David Snyder
+# Apache 2.0.
+# Usage: make_sre.pl <path-to-data> <name-of-source> <sre-ref> <output-dir>
+
+if (@ARGV != 4) {
+  print STDERR "Usage: $0 <path-to-data> <name-of-source> <sre-ref> <output-dir>\n";
+  print STDERR "e.g. $0 /export/corpora5/LDC/LDC2006S44 sre2004 sre_ref data/sre2004\n";
+  exit(1);
+}
+
+($db_base, $sre_name, $sre_ref_filename, $out_dir) = @ARGV;
+%utt2sph = ();
+%spk2gender = ();
+
+$tmp_dir = "$out_dir/tmp";
+if (system("mkdir -p $tmp_dir") != 0) {
+  die "Error making directory $tmp_dir";
+}
+
+if (system("find $db_base -name '*.sph' > $tmp_dir/sph.list") != 0) {
+  die "Error getting list of sph files";
+}
+open(WAVLIST, "<", "$tmp_dir/sph.list") or die "cannot open wav list";
+
+while(<WAVLIST>) {
+  chomp;
+  $sph = $_;
+  @A1 = split("/",$sph);
+  @A2 = split("[./]",$A1[$#A1]);
+  $uttId=$A2[0];
+  $utt2sph{$uttId} = $sph;
+}
+
+open(GNDR,">", "$out_dir/spk2gender") or die "Could not open the output file $out_dir/spk2gender";
+open(SPKR,">", "$out_dir/utt2spk") or die "Could not open the output file $out_dir/utt2spk";
+open(WAV,">", "$out_dir/wav.scp") or die "Could not open the output file $out_dir/wav.scp";
+open(SRE_REF, "<", $sre_ref_filename) or die "Cannot open SRE reference.";
+while (<SRE_REF>) {
+  chomp;
+  ($speaker, $gender, $other_sre_name, $utt_id, $channel) = split(" ", $_);
+  $channel_num = "1";
+  if ($channel eq "A") {
+    $channel_num = "1";
+  } else {
+    $channel_num = "2";
+  }
+  if (($other_sre_name eq $sre_name) and (exists $utt2sph{$utt_id})) {
+    $full_utt_id = "$speaker-$gender-$sre_name-$utt_id-$channel";
+    $spk2gender{"$speaker-$gender"} = $gender;
+    print WAV "$full_utt_id"," sph2pipe -f wav -p -c $channel_num $utt2sph{$utt_id} |\n";
+    print SPKR "$full_utt_id $speaker-$gender","\n";
+  }
+}
+foreach $speaker (keys %spk2gender) {
+  print GNDR "$speaker $spk2gender{$speaker}\n";
+}
+
+close(GNDR) || die;
+close(SPKR) || die;
+close(WAV) || die;
+close(SRE_REF) || die;
diff --git a/egs/callhome/eend_ola/local/make_sre.sh b/egs/callhome/eend_ola/local/make_sre.sh
new file mode 100644
index 0000000..bef4e06
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_sre.sh
@@ -0,0 +1,48 @@
+#!/bin/bash
+# Copyright 2015   David Snyder
+# Apache 2.0.
+#
+# See README.txt for more info on data required.
+
+set -e
+
+data_root=$1
+data_dir=$2
+
+wget -P data/local/ http://www.openslr.org/resources/15/speaker_list.tgz
+tar -C data/local/ -xvf data/local/speaker_list.tgz
+sre_ref=data/local/speaker_list
+
+local/make_sre.pl $data_root/LDC2006S44/ \
+   sre2004 $sre_ref $data_dir/sre2004
+
+local/make_sre.pl $data_root/LDC2011S01 \
+  sre2005 $sre_ref $data_dir/sre2005_train
+
+local/make_sre.pl $data_root/LDC2011S04 \
+  sre2005 $sre_ref $data_dir/sre2005_test
+
+local/make_sre.pl $data_root/LDC2011S09 \
+  sre2006 $sre_ref $data_dir/sre2006_train
+
+local/make_sre.pl $data_root/LDC2011S10 \
+  sre2006 $sre_ref $data_dir/sre2006_test_1
+
+local/make_sre.pl $data_root/LDC2012S01 \
+  sre2006 $sre_ref $data_dir/sre2006_test_2
+
+local/make_sre.pl $data_root/LDC2011S05 \
+  sre2008 $sre_ref $data_dir/sre2008_train
+
+local/make_sre.pl $data_root/LDC2011S08 \
+  sre2008 $sre_ref $data_dir/sre2008_test
+
+utils/combine_data.sh $data_dir/sre \
+  $data_dir/sre2004 $data_dir/sre2005_train \
+  $data_dir/sre2005_test $data_dir/sre2006_train \
+  $data_dir/sre2006_test_1 $data_dir/sre2006_test_2 \
+  $data_dir/sre2008_train $data_dir/sre2008_test
+
+utils/validate_data_dir.sh --no-text --no-feats $data_dir/sre
+utils/fix_data_dir.sh $data_dir/sre
+rm data/local/speaker_list.*
diff --git a/egs/callhome/eend_ola/local/make_swbd2_phase1.pl b/egs/callhome/eend_ola/local/make_swbd2_phase1.pl
new file mode 100644
index 0000000..71b26b5
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_swbd2_phase1.pl
@@ -0,0 +1,106 @@
+#!/usr/bin/perl
+use warnings; #sed replacement for -w perl parameter
+#
+# Copyright   2017   David Snyder
+# Apache 2.0
+
+if (@ARGV != 2) {
+  print STDERR "Usage: $0 <path-to-LDC98S75> <path-to-output>\n";
+  print STDERR "e.g. $0 /export/corpora3/LDC/LDC98S75 data/swbd2_phase1_train\n";
+  exit(1);
+}
+($db_base, $out_dir) = @ARGV;
+
+if (system("mkdir -p $out_dir")) {
+  die "Error making directory $out_dir";
+}
+
+open(CS, "<$db_base/doc/callstat.tbl") || die  "Could not open $db_base/doc/callstat.tbl";
+open(GNDR, ">$out_dir/spk2gender") || die "Could not open the output file $out_dir/spk2gender";
+open(SPKR, ">$out_dir/utt2spk") || die "Could not open the output file $out_dir/utt2spk";
+open(WAV, ">$out_dir/wav.scp") || die "Could not open the output file $out_dir/wav.scp";
+
+@badAudio = ("3", "4");
+
+$tmp_dir = "$out_dir/tmp";
+if (system("mkdir -p $tmp_dir") != 0) {
+  die "Error making directory $tmp_dir";
+}
+
+if (system("find $db_base -name '*.sph' > $tmp_dir/sph.list") != 0) {
+  die "Error getting list of sph files";
+}
+
+open(WAVLIST, "<$tmp_dir/sph.list") or die "cannot open wav list";
+
+%wavs = ();
+while(<WAVLIST>) {
+  chomp;
+  $sph = $_;
+  @t = split("/",$sph);
+  @t1 = split("[./]",$t[$#t]);
+  $uttId = $t1[0];
+  $wavs{$uttId} = $sph;
+}
+
+while (<CS>) {
+  $line = $_ ;
+  @A = split(",", $line);
+  @A1 = split("[./]",$A[0]);
+  $wav = $A1[0];
+  if (/$wav/i ~~ @badAudio) {
+    # do nothing
+    print "Bad Audio = $wav";
+  } else {
+    $spkr1= "sw_" . $A[2];
+    $spkr2= "sw_" . $A[3];
+    $gender1 = $A[5];
+    $gender2 = $A[6];
+    if ($gender1 eq "M") {
+      $gender1 = "m";
+    } elsif ($gender1 eq "F") {
+      $gender1 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if ($gender2 eq "M") {
+      $gender2 = "m";
+    } elsif ($gender2 eq "F") {
+      $gender2 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if (-e "$wavs{$wav}") {
+      $uttId = $spkr1 ."_" . $wav ."_1";
+      if (!$spk2gender{$spkr1}) {
+        $spk2gender{$spkr1} = $gender1;
+        print GNDR "$spkr1"," $gender1\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 1 $wavs{$wav} |\n";
+      print SPKR "$uttId"," $spkr1","\n";
+
+      $uttId = $spkr2 . "_" . $wav ."_2";
+      if (!$spk2gender{$spkr2}) {
+        $spk2gender{$spkr2} = $gender2;
+        print GNDR "$spkr2"," $gender2\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 2 $wavs{$wav} |\n";
+      print SPKR "$uttId"," $spkr2","\n";
+    } else {
+      print STDERR "Missing $wavs{$wav} for $wav\n";
+    }
+  }
+}
+
+close(WAV) || die;
+close(SPKR) || die;
+close(GNDR) || die;
+if (system("utils/utt2spk_to_spk2utt.pl $out_dir/utt2spk >$out_dir/spk2utt") != 0) {
+  die "Error creating spk2utt file in directory $out_dir";
+}
+if (system("utils/fix_data_dir.sh $out_dir") != 0) {
+  die "Error fixing data dir $out_dir";
+}
+if (system("utils/validate_data_dir.sh --no-text --no-feats $out_dir") != 0) {
+  die "Error validating directory $out_dir";
+}
diff --git a/egs/callhome/eend_ola/local/make_swbd2_phase2.pl b/egs/callhome/eend_ola/local/make_swbd2_phase2.pl
new file mode 100644
index 0000000..337ab9d
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_swbd2_phase2.pl
@@ -0,0 +1,107 @@
+#!/usr/bin/perl
+use warnings; #sed replacement for -w perl parameter
+#
+# Copyright   2013   Daniel Povey
+# Apache 2.0
+
+if (@ARGV != 2) {
+  print STDERR "Usage: $0 <path-to-LDC99S79> <path-to-output>\n";
+  print STDERR "e.g. $0 /export/corpora5/LDC/LDC99S79 data/swbd2_phase2_train\n";
+  exit(1);
+}
+($db_base, $out_dir) = @ARGV;
+
+if (system("mkdir -p $out_dir")) {
+  die "Error making directory $out_dir";
+}
+
+open(CS, "<$db_base/DISC1/doc/callstat.tbl") || die  "Could not open $db_base/DISC1/doc/callstat.tbl";
+open(CI, "<$db_base/DISC1/doc/callinfo.tbl") || die  "Could not open $db_base/DISC1/doc/callinfo.tbl";
+open(GNDR, ">$out_dir/spk2gender") || die "Could not open the output file $out_dir/spk2gender";
+open(SPKR, ">$out_dir/utt2spk") || die "Could not open the output file $out_dir/utt2spk";
+open(WAV, ">$out_dir/wav.scp") || die "Could not open the output file $out_dir/wav.scp";
+
+@badAudio = ("3", "4");
+
+$tmp_dir = "$out_dir/tmp";
+if (system("mkdir -p $tmp_dir") != 0) {
+  die "Error making directory $tmp_dir";
+}
+
+if (system("find $db_base -name '*.sph' > $tmp_dir/sph.list") != 0) {
+  die "Error getting list of sph files";
+}
+
+open(WAVLIST, "<$tmp_dir/sph.list") or die "cannot open wav list";
+
+while(<WAVLIST>) {
+  chomp;
+  $sph = $_;
+  @t = split("/",$sph);
+  @t1 = split("[./]",$t[$#t]);
+  $uttId=$t1[0];
+  $wav{$uttId} = $sph;
+}
+
+while (<CS>) {
+  $line = $_ ;
+  $ci = <CI>;
+  $ci = <CI>;
+  @ci = split(",",$ci);
+  $wav = $ci[0];
+  @A = split(",", $line);
+  if (/$wav/i ~~ @badAudio) {
+    # do nothing
+  } else {
+    $spkr1= "sw_" . $A[2];
+    $spkr2= "sw_" . $A[3];
+    $gender1 = $A[4];
+    $gender2 = $A[5];
+    if ($gender1 eq "M") {
+      $gender1 = "m";
+    } elsif ($gender1 eq "F") {
+      $gender1 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if ($gender2 eq "M") {
+      $gender2 = "m";
+    } elsif ($gender2 eq "F") {
+      $gender2 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if (-e "$wav{$wav}") {
+      $uttId = $spkr1 ."_" . $wav ."_1";
+      if (!$spk2gender{$spkr1}) {
+        $spk2gender{$spkr1} = $gender1;
+        print GNDR "$spkr1"," $gender1\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 1 $wav{$wav} |\n";
+      print SPKR "$uttId"," $spkr1","\n";
+
+      $uttId = $spkr2 . "_" . $wav ."_2";
+      if (!$spk2gender{$spkr2}) {
+        $spk2gender{$spkr2} = $gender2;
+        print GNDR "$spkr2"," $gender2\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 2 $wav{$wav} |\n";
+      print SPKR "$uttId"," $spkr2","\n";
+    } else {
+      print STDERR "Missing $wav{$wav} for $wav\n";
+    }
+  }
+}
+
+close(WAV) || die;
+close(SPKR) || die;
+close(GNDR) || die;
+if (system("utils/utt2spk_to_spk2utt.pl $out_dir/utt2spk >$out_dir/spk2utt") != 0) {
+  die "Error creating spk2utt file in directory $out_dir";
+}
+if (system("utils/fix_data_dir.sh $out_dir") != 0) {
+  die "Error fixing data dir $out_dir";
+}
+if (system("utils/validate_data_dir.sh --no-text --no-feats $out_dir") != 0) {
+  die "Error validating directory $out_dir";
+}
diff --git a/egs/callhome/eend_ola/local/make_swbd2_phase3.pl b/egs/callhome/eend_ola/local/make_swbd2_phase3.pl
new file mode 100644
index 0000000..f278534
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_swbd2_phase3.pl
@@ -0,0 +1,102 @@
+#!/usr/bin/perl
+use warnings; #sed replacement for -w perl parameter
+#
+# Copyright   2013   Daniel Povey
+# Apache 2.0
+
+if (@ARGV != 2) {
+  print STDERR "Usage: $0 <path-to-LDC2002S06> <path-to-output>\n";
+  print STDERR "e.g. $0 /export/corpora5/LDC/LDC2002S06 data/swbd2_phase3_train\n";
+  exit(1);
+}
+($db_base, $out_dir) = @ARGV;
+
+if (system("mkdir -p $out_dir")) {
+  die "Error making directory $out_dir";
+}
+
+open(CS, "<$db_base/DISC1/docs/callstat.tbl") || die  "Could not open $db_base/DISC1/docs/callstat.tbl";
+open(GNDR, ">$out_dir/spk2gender") || die "Could not open the output file $out_dir/spk2gender";
+open(SPKR, ">$out_dir/utt2spk") || die "Could not open the output file $out_dir/utt2spk";
+open(WAV, ">$out_dir/wav.scp") || die "Could not open the output file $out_dir/wav.scp";
+
+@badAudio = ("3", "4");
+
+$tmp_dir = "$out_dir/tmp";
+if (system("mkdir -p $tmp_dir") != 0) {
+  die "Error making directory $tmp_dir";
+}
+
+if (system("find $db_base -name '*.sph' > $tmp_dir/sph.list") != 0) {
+  die "Error getting list of sph files";
+}
+
+open(WAVLIST, "<$tmp_dir/sph.list") or die "cannot open wav list";
+while(<WAVLIST>) {
+  chomp;
+  $sph = $_;
+  @t = split("/",$sph);
+  @t1 = split("[./]",$t[$#t]);
+  $uttId=$t1[0];
+  $wav{$uttId} = $sph;
+}
+
+while (<CS>) {
+  $line = $_ ;
+  @A = split(",", $line);
+  $wav = "sw_" . $A[0] ;
+  if (/$wav/i ~~ @badAudio) {
+    # do nothing
+  } else {
+    $spkr1= "sw_" . $A[3];
+    $spkr2= "sw_" . $A[4];
+    $gender1 = $A[5];
+    $gender2 = $A[6];
+    if ($gender1 eq "M") {
+      $gender1 = "m";
+    } elsif ($gender1 eq "F") {
+      $gender1 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if ($gender2 eq "M") {
+      $gender2 = "m";
+    } elsif ($gender2 eq "F") {
+      $gender2 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if (-e "$wav{$wav}") {
+      $uttId = $spkr1 ."_" . $wav ."_1";
+      if (!$spk2gender{$spkr1}) {
+        $spk2gender{$spkr1} = $gender1;
+        print GNDR "$spkr1"," $gender1\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 1 $wav{$wav} |\n";
+      print SPKR "$uttId"," $spkr1","\n";
+
+      $uttId = $spkr2 . "_" . $wav ."_2";
+      if (!$spk2gender{$spkr2}) {
+        $spk2gender{$spkr2} = $gender2;
+        print GNDR "$spkr2"," $gender2\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 2 $wav{$wav} |\n";
+      print SPKR "$uttId"," $spkr2","\n";
+    } else {
+      print STDERR "Missing $wav{$wav} for $wav\n";
+    }
+  }
+}
+
+close(WAV) || die;
+close(SPKR) || die;
+close(GNDR) || die;
+if (system("utils/utt2spk_to_spk2utt.pl $out_dir/utt2spk >$out_dir/spk2utt") != 0) {
+  die "Error creating spk2utt file in directory $out_dir";
+}
+if (system("utils/fix_data_dir.sh $out_dir") != 0) {
+  die "Error fixing data dir $out_dir";
+}
+if (system("utils/validate_data_dir.sh --no-text --no-feats $out_dir") != 0) {
+  die "Error validating directory $out_dir";
+}
diff --git a/egs/callhome/eend_ola/local/make_swbd_cellular1.pl b/egs/callhome/eend_ola/local/make_swbd_cellular1.pl
new file mode 100644
index 0000000..e30c710
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_swbd_cellular1.pl
@@ -0,0 +1,83 @@
+#!/usr/bin/perl
+use warnings; #sed replacement for -w perl parameter
+#
+# Copyright   2013   Daniel Povey
+# Apache 2.0
+
+if (@ARGV != 2) {
+  print STDERR "Usage: $0 <path-to-LDC2001S13> <path-to-output>\n";
+  print STDERR "e.g. $0 /export/corpora5/LDC/LDC2001S13 data/swbd_cellular1_train\n";
+  exit(1);
+}
+($db_base, $out_dir) = @ARGV;
+
+if (system("mkdir -p $out_dir")) {
+  die "Error making directory $out_dir";
+}
+
+open(CS, "<$db_base/doc/swb_callstats.tbl") || die  "Could not open $db_base/doc/swb_callstats.tbl";
+open(GNDR, ">$out_dir/spk2gender") || die "Could not open the output file $out_dir/spk2gender";
+open(SPKR, ">$out_dir/utt2spk") || die "Could not open the output file $out_dir/utt2spk";
+open(WAV, ">$out_dir/wav.scp") || die "Could not open the output file $out_dir/wav.scp";
+
+@badAudio = ("40019", "45024", "40022");
+
+while (<CS>) {
+  $line = $_ ;
+  @A = split(",", $line);
+  if (/$A[0]/i ~~ @badAudio) {
+    # do nothing
+  } else {
+    $wav = "sw_" . $A[0];
+    $spkr1= "sw_" . $A[1];
+    $spkr2= "sw_" . $A[2];
+    $gender1 = $A[3];
+    $gender2 = $A[4];
+    if ($A[3] eq "M") {
+      $gender1 = "m";
+    } elsif ($A[3] eq "F") {
+      $gender1 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if ($A[4] eq "M") {
+      $gender2 = "m";
+    } elsif ($A[4] eq "F") {
+      $gender2 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if (-e "$db_base/$wav.sph") {
+      $uttId = $spkr1 . "-swbdc_" . $wav ."_1";
+      if (!$spk2gender{$spkr1}) {
+        $spk2gender{$spkr1} = $gender1;
+        print GNDR "$spkr1"," $gender1\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 1 $db_base/$wav.sph |\n";
+      print SPKR "$uttId"," $spkr1","\n";
+
+      $uttId = $spkr2 . "-swbdc_" . $wav ."_2";
+      if (!$spk2gender{$spkr2}) {
+        $spk2gender{$spkr2} = $gender2;
+        print GNDR "$spkr2"," $gender2\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 2 $db_base/$wav.sph |\n";
+      print SPKR "$uttId"," $spkr2","\n";
+    } else {
+      print STDERR "Missing $db_base/$wav.sph\n";
+    }
+  }
+}
+
+close(WAV) || die;
+close(SPKR) || die;
+close(GNDR) || die;
+if (system("utils/utt2spk_to_spk2utt.pl $out_dir/utt2spk >$out_dir/spk2utt") != 0) {
+  die "Error creating spk2utt file in directory $out_dir";
+}
+if (system("utils/fix_data_dir.sh $out_dir") != 0) {
+  die "Error fixing data dir $out_dir";
+}
+if (system("utils/validate_data_dir.sh --no-text --no-feats $out_dir") != 0) {
+  die "Error validating directory $out_dir";
+}
diff --git a/egs/callhome/eend_ola/local/make_swbd_cellular2.pl b/egs/callhome/eend_ola/local/make_swbd_cellular2.pl
new file mode 100644
index 0000000..4de954c
--- /dev/null
+++ b/egs/callhome/eend_ola/local/make_swbd_cellular2.pl
@@ -0,0 +1,83 @@
+#!/usr/bin/perl
+use warnings; #sed replacement for -w perl parameter
+#
+# Copyright   2013   Daniel Povey
+# Apache 2.0
+
+if (@ARGV != 2) {
+  print STDERR "Usage: $0 <path-to-LDC2004S07> <path-to-output>\n";
+  print STDERR "e.g. $0 /export/corpora5/LDC/LDC2004S07 data/swbd_cellular2_train\n";
+  exit(1);
+}
+($db_base, $out_dir) = @ARGV;
+
+if (system("mkdir -p $out_dir")) {
+  die "Error making directory $out_dir";
+}
+
+open(CS, "<$db_base/docs/swb_callstats.tbl") || die  "Could not open $db_base/docs/swb_callstats.tbl";
+open(GNDR, ">$out_dir/spk2gender") || die "Could not open the output file $out_dir/spk2gender";
+open(SPKR, ">$out_dir/utt2spk") || die "Could not open the output file $out_dir/utt2spk";
+open(WAV, ">$out_dir/wav.scp") || die "Could not open the output file $out_dir/wav.scp";
+
+@badAudio=("45024", "40022");
+
+while (<CS>) {
+  $line = $_ ;
+  @A = split(",", $line);
+  if (/$A[0]/i ~~ @badAudio) {
+    # do nothing
+  } else {
+    $wav = "sw_" . $A[0];
+    $spkr1= "sw_" . $A[1];
+    $spkr2= "sw_" . $A[2];
+    $gender1 = $A[3];
+    $gender2 = $A[4];
+    if ($A[3] eq "M") {
+      $gender1 = "m";
+    } elsif ($A[3] eq "F") {
+      $gender1 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if ($A[4] eq "M") {
+      $gender2 = "m";
+    } elsif ($A[4] eq "F") {
+      $gender2 = "f";
+    } else {
+      die "Unknown Gender in $line";
+    }
+    if (-e "$db_base/data/$wav.sph") {
+      $uttId = $spkr1 . "-swbdc_" . $wav ."_1";
+      if (!$spk2gender{$spkr1}) {
+        $spk2gender{$spkr1} = $gender1;
+        print GNDR "$spkr1"," $gender1\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 1 $db_base/data/$wav.sph |\n";
+      print SPKR "$uttId"," $spkr1","\n";
+
+      $uttId = $spkr2 . "-swbdc_" . $wav ."_2";
+      if (!$spk2gender{$spkr2}) {
+        $spk2gender{$spkr2} = $gender2;
+        print GNDR "$spkr2"," $gender2\n";
+      }
+      print WAV "$uttId"," sph2pipe -f wav -p -c 2 $db_base/data/$wav.sph |\n";
+      print SPKR "$uttId"," $spkr2","\n";
+    } else {
+      print STDERR "Missing $db_base/data/$wav.sph\n";
+    }
+  }
+}
+
+close(WAV) || die;
+close(SPKR) || die;
+close(GNDR) || die;
+if (system("utils/utt2spk_to_spk2utt.pl $out_dir/utt2spk >$out_dir/spk2utt") != 0) {
+  die "Error creating spk2utt file in directory $out_dir";
+}
+if (system("utils/fix_data_dir.sh $out_dir") != 0) {
+  die "Error fixing data dir $out_dir";
+}
+if (system("utils/validate_data_dir.sh --no-text --no-feats $out_dir") != 0) {
+  die "Error validating directory $out_dir";
+}
diff --git a/egs/callhome/eend_ola/local/random_mixture.py b/egs/callhome/eend_ola/local/random_mixture.py
new file mode 100644
index 0000000..0032ef9
--- /dev/null
+++ b/egs/callhome/eend_ola/local/random_mixture.py
@@ -0,0 +1,145 @@
+#!/usr/bin/env python3
+
+# Copyright 2019 Hitachi, Ltd. (author: Yusuke Fujita)
+# Licensed under the MIT license.
+
+"""
+This script generates random multi-talker mixtures for diarization.
+It generates a scp-like outputs: lines of "[recid] [json]".
+    recid: recording id of mixture
+        serial numbers like mix_0000001, mix_0000002, ...
+    json: mixture configuration formatted in "one-line"
+The json format is as following:
+{
+ 'speakers':[                    # list of speakers
+    {
+     'spkid': 'Name',             # speaker id
+     'rir': '/rirdir/rir.wav',    # wav_rxfilename of room impulse response
+     'utts': [                    # list of wav_rxfilenames of utterances
+        '/wavdir/utt1.wav',
+        '/wavdir/utt2.wav',...],
+     'intervals': [1.2, 3.4, ...] # list of silence durations before utterances
+    }, ... ],
+ 'noise': '/noisedir/noise.wav'   # wav_rxfilename of background noise
+ 'snr': 15.0,                     # SNR for mixing background noise
+ 'recid': 'mix_000001'            # recording id of the mixture
+}
+
+Usage:
+    common/random_mixture.py \
+        --n_mixtures=10000 \      # number of mixtures
+        data/voxceleb1_train \    # kaldi-style data dir of utterances
+        data/musan_noise_bg \     # background noises
+        data/simu_rirs \          # room impulse responses
+        > mixture.scp             # output scp-like file
+
+The actual data dir and wav files are generated using make_mixture.py:
+    common/make_mixture.py \
+        mixture.scp \             # scp-like file for mixture
+        data/mixture \            # output data dir
+        wav/mixture               # output wav dir
+"""
+
+import argparse
+import os
+from eend import kaldi_data
+import random
+import numpy as np
+import json
+import itertools
+
+parser = argparse.ArgumentParser()
+parser.add_argument('data_dir',
+                    help='data dir of single-speaker recordings')
+parser.add_argument('noise_dir',
+                    help='data dir of background noise recordings')
+parser.add_argument('rir_dir',
+                    help='data dir of room impulse responses')
+parser.add_argument('--n_mixtures', type=int, default=10,
+                    help='number of mixture recordings')
+parser.add_argument('--n_speakers', type=int, default=4,
+                    help='number of speakers in a mixture')
+parser.add_argument('--min_utts', type=int, default=10,
+                    help='minimum number of uttenraces per speaker')
+parser.add_argument('--max_utts', type=int, default=20,
+                    help='maximum number of utterances per speaker')
+parser.add_argument('--sil_scale', type=float, default=10.0,
+                    help='average silence time')
+parser.add_argument('--noise_snrs', default="10:15:20",
+                    help='colon-delimited SNRs for background noises')
+parser.add_argument('--random_seed', type=int, default=777,
+                    help='random seed')
+parser.add_argument('--speech_rvb_probability', type=float, default=1,
+                    help='reverb probability')
+args = parser.parse_args()
+
+random.seed(args.random_seed)
+np.random.seed(args.random_seed)
+
+# load list of wav files from kaldi-style data dirs
+wavs = kaldi_data.load_wav_scp(
+        os.path.join(args.data_dir, 'wav.scp'))
+noises = kaldi_data.load_wav_scp(
+        os.path.join(args.noise_dir, 'wav.scp'))
+rirs = kaldi_data.load_wav_scp(
+        os.path.join(args.rir_dir, 'wav.scp'))
+
+# spk2utt is used for counting number of utterances per speaker
+spk2utt = kaldi_data.load_spk2utt(
+        os.path.join(args.data_dir, 'spk2utt'))
+
+segments = kaldi_data.load_segments_hash(
+        os.path.join(args.data_dir, 'segments'))
+
+# choice lists for random sampling
+all_speakers = list(spk2utt.keys())
+all_noises = list(noises.keys())
+all_rirs = list(rirs.keys())
+noise_snrs = [float(x) for x in args.noise_snrs.split(':')]
+
+mixtures = []
+for it in range(args.n_mixtures):
+    # recording ids are mix_0000001, mix_0000002, ...
+    recid = 'mix_{:07d}'.format(it + 1)
+    # randomly select speakers, a background noise and a SNR
+    speakers = random.sample(all_speakers, args.n_speakers)
+    noise = random.choice(all_noises)
+    noise_snr = random.choice(noise_snrs)
+    mixture = {'speakers': []}
+    for speaker in speakers:
+        # randomly select the number of utterances
+        n_utts = np.random.randint(args.min_utts, args.max_utts + 1)
+        # utts = spk2utt[speaker][:n_utts]
+        cycle_utts = itertools.cycle(spk2utt[speaker])
+        # random start utterance
+        roll = np.random.randint(0, len(spk2utt[speaker]))
+        for i in range(roll):
+            next(cycle_utts)
+        utts = [next(cycle_utts) for i in range(n_utts)]
+        # randomly select wait time before appending utterance
+        intervals = np.random.exponential(args.sil_scale, size=n_utts)
+        # randomly select a room impulse response
+        if random.random() < args.speech_rvb_probability:
+            rir = rirs[random.choice(all_rirs)]
+        else:
+            rir = None
+        if segments is not None:
+            utts = [segments[utt] for utt in utts]
+            utts = [(wavs[rec], st, et) for (rec, st, et) in utts]
+            mixture['speakers'].append({
+                'spkid': speaker,
+                'rir': rir,
+                'utts': utts,
+                'intervals': intervals.tolist()
+                })
+        else:
+            mixture['speakers'].append({
+                'spkid': speaker,
+                'rir': rir,
+                'utts': [wavs[utt] for utt in utts],
+                'intervals': intervals.tolist()
+                })
+    mixture['noise'] = noises[noise]
+    mixture['snr'] = noise_snr
+    mixture['recid'] = recid
+    print(recid, json.dumps(mixture))
diff --git a/egs/callhome/eend_ola/local/run_blstm.sh b/egs/callhome/eend_ola/local/run_blstm.sh
new file mode 100644
index 0000000..71270a4
--- /dev/null
+++ b/egs/callhome/eend_ola/local/run_blstm.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+
+# Copyright 2019 Hitachi, Ltd. (author: Yusuke Fujita)
+# Licensed under the MIT license.
+#
+# BLSTM-based model experiment
+./run.sh --train-config conf/blstm/train.yaml --average-start 20 --average-end 20 \
+         --adapt-config conf/blstm/adapt.yaml --adapt-average-start 10 --adapt-average-end 10 \
+         --infer-config conf/blstm/infer.yaml $*
diff --git a/egs/callhome/eend_ola/local/run_prepare_shared_eda.sh b/egs/callhome/eend_ola/local/run_prepare_shared_eda.sh
new file mode 100644
index 0000000..f48adc5
--- /dev/null
+++ b/egs/callhome/eend_ola/local/run_prepare_shared_eda.sh
@@ -0,0 +1,235 @@
+#!/bin/bash
+
+# Copyright 2019 Hitachi, Ltd. (author: Yusuke Fujita, Shota Horiguchi)
+# Licensed under the MIT license.
+#
+# This script prepares kaldi-style data sets shared with different experiments
+#   - data/xxxx
+#     callhome, sre, swb2, and swb_cellular datasets
+#   - data/simu_${simu_outputs}
+#     simulation mixtures generated with various options
+
+stage=0
+
+# Modify corpus directories
+#  - callhome_dir
+#    CALLHOME (LDC2001S97)
+#  - swb2_phase1_train
+#    Switchboard-2 Phase 1 (LDC98S75)
+#  - data_root
+#    LDC99S79, LDC2002S06, LDC2001S13, LDC2004S07,
+#    LDC2006S44, LDC2011S01, LDC2011S04, LDC2011S09,
+#    LDC2011S10, LDC2012S01, LDC2011S05, LDC2011S08
+#  - musan_root
+#    MUSAN corpus (https://www.openslr.org/17/)
+callhome_dir=/export/corpora/NIST/LDC2001S97
+swb2_phase1_train=/export/corpora/LDC/LDC98S75
+data_root=/export/corpora5/LDC
+musan_root=/export/corpora/JHU/musan
+# Modify simulated data storage area.
+# This script distributes simulated data under these directories
+simu_actual_dirs=(
+/export/c05/$USER/diarization-data
+/export/c08/$USER/diarization-data
+/export/c09/$USER/diarization-data
+)
+
+# data preparation options
+max_jobs_run=4
+sad_num_jobs=30
+sad_opts="--extra-left-context 79 --extra-right-context 21 --frames-per-chunk 150 --extra-left-context-initial 0 --extra-right-context-final 0 --acwt 0.3"
+sad_graph_opts="--min-silence-duration=0.03 --min-speech-duration=0.3 --max-speech-duration=10.0"
+sad_priors_opts="--sil-scale=0.1"
+
+# simulation options
+simu_opts_overlap=yes
+simu_opts_num_speaker_array=(1 2 3 4)
+simu_opts_sil_scale_array=(2 2 5 9)
+simu_opts_rvb_prob=0.5
+simu_opts_num_train=100000
+simu_opts_min_utts=10
+simu_opts_max_utts=20
+
+simu_cmd="run.pl"
+train_cmd="run.pl"
+random_mixture_cmd="run.pl"
+make_mixture_cmd="run.pl"
+
+. parse_options.sh || exit
+
+if [ $stage -le 0 ]; then
+    echo "prepare kaldi-style datasets"
+    # Prepare CALLHOME dataset. This will be used to evaluation.
+    if ! validate_data_dir.sh --no-text --no-feats data/callhome1_spkall \
+        || ! validate_data_dir.sh --no-text --no-feats data/callhome2_spkall; then
+        # imported from https://github.com/kaldi-asr/kaldi/blob/master/egs/callhome_diarization/v1
+        local/make_callhome.sh $callhome_dir data
+        # Generate two-speaker subsets
+        for dset in callhome1 callhome2; do
+            # Extract two-speaker recordings in wav.scp
+            copy_data_dir.sh data/${dset} data/${dset}_spkall
+            # Regenerate segments file from fullref.rttm
+            #  $2: recid, $4: start_time, $5: duration, $8: speakerid
+            awk '{printf "%s_%s_%07d_%07d %s %.2f %.2f\n", \
+                 $2, $8, $4*100, ($4+$5)*100, $2, $4, $4+$5}' \
+                data/callhome/fullref.rttm | sort > data/${dset}_spkall/segments
+            utils/fix_data_dir.sh data/${dset}_spkall
+            # Speaker ID is '[recid]_[speakerid]
+            awk '{split($1,A,"_"); printf "%s %s_%s\n", $1, A[1], A[2]}' \
+                data/${dset}_spkall/segments > data/${dset}_spkall/utt2spk
+            utils/fix_data_dir.sh data/${dset}_spkall
+            # Generate rttm files for scoring
+            steps/segmentation/convert_utt2spk_and_segments_to_rttm.py \
+                data/${dset}_spkall/utt2spk data/${dset}_spkall/segments \
+                data/${dset}_spkall/rttm
+            utils/data/get_reco2dur.sh data/${dset}_spkall
+        done
+    fi
+    # Prepare a collection of NIST SRE and SWB data. This will be used to train,
+    if ! validate_data_dir.sh --no-text --no-feats data/swb_sre_comb; then
+        local/make_sre.sh $data_root data
+        # Prepare SWB for x-vector DNN training.
+        local/make_swbd2_phase1.pl $swb2_phase1_train \
+            data/swbd2_phase1_train
+        local/make_swbd2_phase2.pl $data_root/LDC99S79 \
+            data/swbd2_phase2_train
+        local/make_swbd2_phase3.pl $data_root/LDC2002S06 \
+            data/swbd2_phase3_train
+        local/make_swbd_cellular1.pl $data_root/LDC2001S13 \
+            data/swbd_cellular1_train
+        local/make_swbd_cellular2.pl $data_root/LDC2004S07 \
+            data/swbd_cellular2_train
+        # Combine swb and sre data
+        utils/combine_data.sh data/swb_sre_comb \
+            data/swbd_cellular1_train data/swbd_cellular2_train \
+            data/swbd2_phase1_train \
+            data/swbd2_phase2_train data/swbd2_phase3_train data/sre
+    fi
+    # musan data. "back-ground
+    if ! validate_data_dir.sh --no-text --no-feats data/musan_noise_bg; then
+        local/make_musan.sh $musan_root data
+        utils/copy_data_dir.sh data/musan_noise data/musan_noise_bg
+        awk '{if(NR>1) print $1,$1}'  $musan_root/noise/free-sound/ANNOTATIONS > data/musan_noise_bg/utt2spk
+        utils/fix_data_dir.sh data/musan_noise_bg
+    fi
+    # simu rirs 8k
+    if ! validate_data_dir.sh --no-text --no-feats data/simu_rirs_8k; then
+        mkdir -p data/simu_rirs_8k
+        if [ ! -e sim_rir_8k.zip ]; then
+            wget --no-check-certificate http://www.openslr.org/resources/26/sim_rir_8k.zip
+        fi
+        unzip sim_rir_8k.zip -d data/sim_rir_8k
+        find $PWD/data/sim_rir_8k -iname "*.wav" \
+            | awk '{n=split($1,A,/[\/\.]/); print A[n-3]"_"A[n-1], $1}' \
+            | sort > data/simu_rirs_8k/wav.scp
+        awk '{print $1, $1}' data/simu_rirs_8k/wav.scp > data/simu_rirs_8k/utt2spk
+        utils/fix_data_dir.sh data/simu_rirs_8k
+    fi
+    # Automatic segmentation using pretrained SAD model
+    #     it will take one day using 30 CPU jobs:
+    #     make_mfcc: 1 hour, compute_output: 18 hours, decode: 0.5 hours
+    sad_nnet_dir=exp/segmentation_1a/tdnn_stats_asr_sad_1a
+    sad_work_dir=exp/segmentation_1a/tdnn_stats_asr_sad_1a
+    if ! validate_data_dir.sh --no-text $sad_work_dir/swb_sre_comb_seg; then
+        if [ ! -d exp/segmentation_1a ]; then
+            wget http://kaldi-asr.org/models/4/0004_tdnn_stats_asr_sad_1a.tar.gz
+            tar zxf 0004_tdnn_stats_asr_sad_1a.tar.gz
+        fi
+        steps/segmentation/detect_speech_activity.sh \
+            --nj $sad_num_jobs \
+            --graph-opts "$sad_graph_opts" \
+            --transform-probs-opts "$sad_priors_opts" $sad_opts \
+            data/swb_sre_comb $sad_nnet_dir mfcc_hires $sad_work_dir \
+            $sad_work_dir/swb_sre_comb || exit 1
+    fi
+    # Extract >1.5 sec segments and split into train/valid sets
+    if ! validate_data_dir.sh --no-text --no-feats data/swb_sre_cv; then
+        copy_data_dir.sh data/swb_sre_comb data/swb_sre_comb_seg
+        awk '$4-$3>1.5{print;}' $sad_work_dir/swb_sre_comb_seg/segments > data/swb_sre_comb_seg/segments
+        cp $sad_work_dir/swb_sre_comb_seg/{utt2spk,spk2utt} data/swb_sre_comb_seg
+        fix_data_dir.sh data/swb_sre_comb_seg
+        utils/subset_data_dir_tr_cv.sh data/swb_sre_comb_seg data/swb_sre_tr data/swb_sre_cv
+    fi
+fi
+
+simudir=data/simu
+if [ $stage -le 1 ]; then
+    echo "simulation of mixture"
+    mkdir -p $simudir/.work
+    local/random_mixture_cmd=random_mixture.py
+    local/make_mixture_cmd=make_mixture.py
+
+    for ((i=0; i<${#simu_opts_sil_scale_array[@]}; ++i)); do
+        simu_opts_num_speaker=${simu_opts_num_speaker_array[i]}
+        simu_opts_sil_scale=${simu_opts_sil_scale_array[i]}
+        for dset in swb_sre_tr swb_sre_cv; do
+            if [ "$dset" == "swb_sre_tr" ]; then
+                n_mixtures=${simu_opts_num_train}
+            else
+                n_mixtures=500
+            fi
+            simuid=${dset}_ns${simu_opts_num_speaker}_beta${simu_opts_sil_scale}_${n_mixtures}
+            # check if you have the simulation
+            if ! validate_data_dir.sh --no-text --no-feats $simudir/data/$simuid; then
+                # random mixture generation
+                $train_cmd $simudir/.work/random_mixture_$simuid.log \
+                    $random_mixture_cmd --n_speakers $simu_opts_num_speaker --n_mixtures $n_mixtures \
+                    --speech_rvb_probability $simu_opts_rvb_prob \
+                    --sil_scale $simu_opts_sil_scale \
+                    data/$dset data/musan_noise_bg data/simu_rirs_8k \
+                    \> $simudir/.work/mixture_$simuid.scp
+                nj=64
+                mkdir -p $simudir/wav/$simuid
+                # distribute simulated data to $simu_actual_dir
+                split_scps=
+                for n in $(seq $nj); do
+                    split_scps="$split_scps $simudir/.work/mixture_$simuid.$n.scp"
+                    mkdir -p $simudir/.work/data_$simuid.$n
+                    actual=${simu_actual_dirs[($n-1)%${#simu_actual_dirs[@]}]}/$simudir/wav/$simuid/$n
+                    mkdir -p $actual
+                    ln -nfs $actual $simudir/wav/$simuid/$n
+                done
+                utils/split_scp.pl $simudir/.work/mixture_$simuid.scp $split_scps || exit 1
+
+                $simu_cmd --max-jobs-run 64 JOB=1:$nj $simudir/.work/make_mixture_$simuid.JOB.log \
+                    $make_mixture_cmd --rate=8000 \
+                    $simudir/.work/mixture_$simuid.JOB.scp \
+                    $simudir/.work/data_$simuid.JOB $simudir/wav/$simuid/JOB
+                utils/combine_data.sh $simudir/data/$simuid $simudir/.work/data_$simuid.*
+                steps/segmentation/convert_utt2spk_and_segments_to_rttm.py \
+                    $simudir/data/$simuid/utt2spk $simudir/data/$simuid/segments \
+                    $simudir/data/$simuid/rttm
+                utils/data/get_reco2dur.sh $simudir/data/$simuid
+            fi
+            simuid_concat=${dset}_ns"$(IFS="n"; echo "${simu_opts_num_speaker_array[*]}")"_beta"$(IFS="n"; echo "${simu_opts_sil_scale_array[*]}")"_${n_mixtures}
+            mkdir -p $simudir/data/$simuid_concat
+            for f in `ls -F $simudir/data/$simuid | grep -v "/"`; do
+                cat $simudir/data/$simuid/$f >> $simudir/data/$simuid_concat/$f
+            done
+        done
+    done
+fi
+
+if [ $stage -le 3 ]; then
+    # compose eval/callhome2_spkall
+    eval_set=data/eval/callhome2_spkall
+    if ! validate_data_dir.sh --no-text --no-feats $eval_set; then
+        utils/copy_data_dir.sh data/callhome2_spkall $eval_set
+        cp data/callhome2_spkall/rttm $eval_set/rttm
+        awk -v dstdir=wav/eval/callhome2_spkall '{print $1, dstdir"/"$1".wav"}' data/callhome2_spkall/wav.scp > $eval_set/wav.scp
+        mkdir -p wav/eval/callhome2_spkall
+        wav-copy scp:data/callhome2_spkall/wav.scp scp:$eval_set/wav.scp
+        utils/data/get_reco2dur.sh $eval_set
+    fi
+
+    # compose eval/callhome1_spkall
+    adapt_set=data/eval/callhome1_spkall
+    if ! validate_data_dir.sh --no-text --no-feats $adapt_set; then
+        utils/copy_data_dir.sh data/callhome1_spkall $adapt_set
+        cp data/callhome1_spkall/rttm $adapt_set/rttm
+        awk -v dstdir=wav/eval/callhome1_spkall '{print $1, dstdir"/"$1".wav"}' data/callhome1_spkall/wav.scp > $adapt_set/wav.scp
+        mkdir -p wav/eval/callhome1_spkall
+        wav-copy scp:data/callhome1_spkall/wav.scp scp:$adapt_set/wav.scp
+        utils/data/get_reco2dur.sh $adapt_set
+    fi
+fi
diff --git a/egs/callhome/eend_ola/path.sh b/egs/callhome/eend_ola/path.sh
index ea3c0be..e1906b7 100755
--- a/egs/callhome/eend_ola/path.sh
+++ b/egs/callhome/eend_ola/path.sh
@@ -1,5 +1,12 @@
 export FUNASR_DIR=$PWD/../../..
 
+# kaldi-related
+export KALDI_ROOT=
+[ -f $KALDI_ROOT/tools/env.sh ] && . $KALDI_ROOT/tools/env.sh
+export PATH=$PWD/utils/:$KALDI_ROOT/tools/openfst/bin:$KALDI_ROOT/tools/sph2pipe_v2.5:$KALDI_ROOT/tools/sctk/bin:$PWD:$PATH
+[ ! -f $KALDI_ROOT/tools/config/common_path.sh ] && echo >&2 "The standard file $KALDI_ROOT/tools/config/common_path.sh is not present -> Exit!" && exit 1
+. $KALDI_ROOT/tools/config/common_path.sh
+
 # NOTE(kan-bayashi): Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C
 export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=../../../:$PYTHONPATH
diff --git a/egs/callhome/eend_ola/run.sh b/egs/callhome/eend_ola/run.sh
index 8936137..f5afd73 100644
--- a/egs/callhome/eend_ola/run.sh
+++ b/egs/callhome/eend_ola/run.sh
@@ -27,8 +27,8 @@
 
 exp_dir="."
 input_size=345
-stage=1
-stop_stage=4
+stage=-1
+stop_stage=-1
 
 # exp tag
 tag="exp_fix"
@@ -50,11 +50,26 @@
 simu_allspkr_chunk2000_model_dir="baseline_$(basename "${simu_allspkr_chunk2000_diar_config}" .yaml)_${tag}"
 callhome_model_dir="baseline_$(basename "${callhome_diar_config}" .yaml)_${tag}"
 
-# Prepare data for training and inference
-if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
-    echo "stage 0: Prepare data for training and inference"
+# simulate mixture data for training and inference
+if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
+    echo "stage 0: Simulate mixture data for training and inference"
+    echo "The detail can be found in https://github.com/hitachi-speech/EEND"
+    ehco "Before running this step, you should download and compile kaldi and set KALDI_ROOT in this script and path.sh"
+    echo "This stage may take a long time, please waiting..."
+    KALDI_ROOT=
+    ln -s $KALDI_ROOT/egs/wsj/s5/steps steps
+    ln -s $KALDI_ROOT/egs/wsj/s5/utils utils
+    . local/run_prepare_shared_eda.sh
 fi
 
+## Prepare data for training and inference
+#if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
+#    echo "stage 0: Prepare data for training and inference"
+#    echo "The detail can be found in https://github.com/hitachi-speech/EEND"
+#    . ./local/
+#fi
+#
+
 # Training on simulated two-speaker data
 world_size=$gpu_num
 simu_2spkr_ave_id=avg${simu_average_2spkr_start}-${simu_average_2spkr_end}
diff --git a/egs/callhome/diarization/sond/sond.yaml b/egs/callhome/sond/sond.yaml
similarity index 100%
rename from egs/callhome/diarization/sond/sond.yaml
rename to egs/callhome/sond/sond.yaml
diff --git a/egs/callhome/diarization/sond/sond_fbank.yaml b/egs/callhome/sond/sond_fbank.yaml
similarity index 100%
rename from egs/callhome/diarization/sond/sond_fbank.yaml
rename to egs/callhome/sond/sond_fbank.yaml
diff --git a/egs/callhome/diarization/sond/unit_test.py b/egs/callhome/sond/unit_test.py
similarity index 100%
rename from egs/callhome/diarization/sond/unit_test.py
rename to egs/callhome/sond/unit_test.py

--
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