From 7fb605cc8831227c3a66d2c9da93dffa8049a5c1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 20 七月 2023 17:11:30 +0800
Subject: [PATCH] update
---
egs/callhome/eend_ola/run.sh | 1 -
egs/callhome/eend_ola/run_test.sh | 42 +++++++++++++++++++++++++++++++++---------
2 files changed, 33 insertions(+), 10 deletions(-)
diff --git a/egs/callhome/eend_ola/run.sh b/egs/callhome/eend_ola/run.sh
index cd246fe..c8f4c3c 100644
--- a/egs/callhome/eend_ola/run.sh
+++ b/egs/callhome/eend_ola/run.sh
@@ -94,7 +94,6 @@
done
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/eend_ola/run_test.sh b/egs/callhome/eend_ola/run_test.sh
index 9173e6f..a3257a0 100644
--- a/egs/callhome/eend_ola/run_test.sh
+++ b/egs/callhome/eend_ola/run_test.sh
@@ -8,6 +8,11 @@
count=1
# general configuration
+dump_cmd=utils/run.pl
+nj=64
+
+# feature configuration
+data_dir="/nfs/wangjiaming.wjm/EEND_DATA_sad30_snr10n15n20/convert_chunk2000/data"
simu_feats_dir="/nfs/wangjiaming.wjm/EEND_ARK_DATA/dump/simu_data/data"
simu_feats_dir_chunk2000="/nfs/wangjiaming.wjm/EEND_ARK_DATA/dump/simu_data_chunk2000/data"
callhome_feats_dir_chunk2000="/nfs/wangjiaming.wjm/EEND_ARK_DATA/dump/callhome_chunk2000/data"
@@ -27,8 +32,8 @@
exp_dir="."
input_size=345
-stage=5
-stop_stage=5
+stage=0
+stop_stage=0
# exp tag
tag="exp1"
@@ -62,13 +67,32 @@
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
-#
+# Prepare data for training and inference
+if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
+ echo "stage 0: Prepare data for training and inference"
+ simu_opts_num_speaker_array=(1 2 3 4)
+ simu_opts_sil_scale_array=(2 2 5 9)
+ simu_opts_num_speaker=${simu_opts_num_speaker_array[i]}
+ simu_opts_sil_scale=${simu_opts_sil_scale_array[i]}
+ simu_opts_num_train=100000
+
+ # for simulated data of chunk500
+ for dset in swb_sre_tr swb_sre_cv; do
+ if [ "$dset" == "swb_sre_tr" ]; then
+ n_mixtures=${simu_opts_num_train}
+ else
+ n_mixtures=500
+ fi
+ simu_data_dir=${dset}_ns${simu_opts_num_speaker}_beta${simu_opts_sil_scale}_${n_mixtures}
+ mkdir ${data_dir}/simu/data/${simu_data_dir}/.work
+ split_scps=
+ for n in $(seq $nj); do
+ split_scps="$split_scps ${data_dir}/simu/data/${simu_data_dir}/.work/wav.$n.scp"
+ done
+ utils/split_scp.pl "${data_dir}/simu/data/${simu_data_dir}/wav.scp" $split_scps || exit 1
+ python local/split.py ${data_dir}/simu/data/${simu_data_dir}
+ done
+fi
# Training on simulated two-speaker data
world_size=$gpu_num
--
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