From cf8e000a84e888495dcf30c4dbfecea1ee7ab4e2 Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 07 八月 2023 16:13:37 +0800
Subject: [PATCH] Merge pull request #807 from alibaba-damo-academy/dev_wjm
---
egs/callhome/diarization/sond/finetune.sh | 30 ++++++++++++++++++++----------
1 files changed, 20 insertions(+), 10 deletions(-)
diff --git a/egs/callhome/diarization/sond/finetune.sh b/egs/callhome/diarization/sond/finetune.sh
index 91e6798..1b53690 100644
--- a/egs/callhome/diarization/sond/finetune.sh
+++ b/egs/callhome/diarization/sond/finetune.sh
@@ -43,8 +43,8 @@
count=1
# general configuration
-stage=1
-stop_stage=1
+stage=0
+stop_stage=10
# number of jobs for data process
nj=16
sr=8000
@@ -177,6 +177,7 @@
sv_exp_dir=exp/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch
if [ ! -e ${sv_exp_dir} ]; then
+ echo "start to download sv models"
git lfs install
git clone https://www.modelscope.cn/damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch.git
mv speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch ${expdir}/
@@ -242,7 +243,7 @@
echo "Stage 6: start to dump for callhome1."
python -Wignore script/dump_meeting_chunks.py --dir ${data_dir} \
- --out ${dumpdir}/callhome1/dumped_files/data --n_spk 16 --no_pbar --sr 8000 --mode test \
+ --out ${dumpdir}/callhome1/dumped_files/data --n_spk 16 --no_pbar --sr 8000 --mode train \
--chunk_size 1600 --chunk_shift 400 --add_mid_to_speaker true
mkdir -p ${datadir}/callhome1/dumped_files
@@ -279,6 +280,15 @@
# Finetune model on callhome1, this will take about 1.5 hours.
if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then
echo "Stage 7: Finetune pretrained model on callhome1."
+
+ if [ ! -e ${expdir}/speech_diarization_sond-en-us-swbd_sre-8k-n16k4-pytorch ]; then
+ echo "start to download pretrained models"
+ git lfs install
+ git clone https://www.modelscope.cn/damo/speech_diarization_sond-en-us-swbd_sre-8k-n16k4-pytorch.git
+ mv speech_diarization_sond-en-us-swbd_sre-8k-n16k4-pytorch ${expdir}/
+ echo "Done."
+ fi
+
world_size=$gpu_num # run on one machine
mkdir -p ${expdir}/${model_dir}
mkdir -p ${expdir}/${model_dir}/log
@@ -319,7 +329,7 @@
--valid_data_path_and_name_and_type ${datadir}/${valid_set}/dumped_files/profile.scp,profile,kaldi_ark \
--valid_data_path_and_name_and_type ${datadir}/${valid_set}/dumped_files/label.scp,binary_labels,kaldi_ark \
--valid_shape_file ${expdir}/${valid_set}_states/speech_shape \
- --init_param exp/pretrained_models/phase2.pth \
+ --init_param ${expdir}/speech_diarization_sond-en-us-swbd_sre-8k-n16k4-pytorch/sond.pth \
--unused_parameters true \
${init_opt} \
${freeze_opt} \
@@ -388,7 +398,7 @@
# Scoring for finetuned model, you may get a DER like:
# oracle_vad | system_vad
-# 7.28 | 8.06
+# 7.32 | 8.14
if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then
echo "stage 9: Scoring finetuned models"
if [ ! -e dscore ]; then
@@ -427,11 +437,11 @@
# Then find the wav files to construct wav.scp and put it at data/callhome2/wav.scp.
# After iteratively perform SOAP, you will get DER results like:
# iters : oracle_vad | system_vad
-# iter_0: 9.63 | 10.43
-# iter_1: 9.17 | 10.03
-# iter_2: 9.11 | 9.98
-# iter_3: 9.08 | 9.96
-# iter_4: 9.07 | 9.95
+# iter_0: 9.58 | 10.46
+# iter_1: 9.22 | 10.15
+# iter_2: 9.21 | 10.14
+# iter_3: 9.30 | 10.24
+# iter_4: 9.29 | 10.23
if [ ${stage} -le 10 ] && [ ${stop_stage} -ge 10 ]; then
if [ ! -e ${expdir}/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch ]; then
git lfs install
--
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