-
Notifications
You must be signed in to change notification settings - Fork 53
/
run_train.sh
188 lines (166 loc) · 7.01 KB
/
run_train.sh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
set -e
stage=0
stop_stage=100
model_name=fastspeech2_aishell3_english
fastspeech2=True
use_gst=False
use_vae=False
# config
config=default
if [ ${fastspeech2} == True ]; then
echo "model: fastspeech2"
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
echo "duration"
python tools/gen_duration_from_textgrid.py \
--inputdir=data/TextGrid \
--output=data/durations.txt \
--config=train/conf/fastspeech2/$config.yaml || exit -1
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
echo "preprocess"
python train/exps/fastspeech2/preprocess.py \
--dataset=other \
--rootdir=data/ \
--dumpdir=dump \
--dur-file=data/durations.txt \
--config=train/conf/fastspeech2/$config.yaml \
--num-cpu=16 \
--cut-sil=True || exit -1
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
echo "compute statistics"
python tools/compute_statistics.py \
--metadata=dump/train/raw/metadata.jsonl \
--field-name="speech" || exit -1
python tools/compute_statistics.py \
--metadata=dump/train/raw/metadata.jsonl \
--field-name="pitch" || exit -1
python tools/compute_statistics.py \
--metadata=dump/train/raw/metadata.jsonl \
--field-name="energy" || exit -1
fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "normalize"
python train/exps/fastspeech2/normalize.py \
--metadata=dump/train/raw/metadata.jsonl \
--dumpdir=dump/train/norm \
--speech-stats=dump/train/speech_stats.npy \
--pitch-stats=dump/train/pitch_stats.npy \
--energy-stats=dump/train/energy_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt || exit -1
python train/exps/fastspeech2/normalize.py \
--metadata=dump/dev/raw/metadata.jsonl \
--dumpdir=dump/dev/norm \
--speech-stats=dump/train/speech_stats.npy \
--pitch-stats=dump/train/pitch_stats.npy \
--energy-stats=dump/train/energy_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt || exit -1
python train/exps/fastspeech2/normalize.py \
--metadata=dump/test/raw/metadata.jsonl \
--dumpdir=dump/test/norm \
--speech-stats=dump/train/speech_stats.npy \
--pitch-stats=dump/train/pitch_stats.npy \
--energy-stats=dump/train/energy_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt || exit -1
fi
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
echo "train"
python train/exps/fastspeech2/train.py \
--train-metadata=dump/train/norm/metadata.jsonl \
--dev-metadata=dump/dev/norm/metadata.jsonl \
--config=train/conf/fastspeech2/$config.yaml \
--output-dir=exp/$model_name \
--ngpu=1 \
--phones-dict=dump/phone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt \
--use_gst=$use_gst \
--use_vae=$use_vae || exit -1
fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
echo "copy files to model"
cp dump/phone_id_map.txt exp/$model_name/phone_id_map.txt
cp dump/speaker_id_map.txt exp/$model_name/speaker_id_map.txt
cp dump/train/energy_stats.npy exp/$model_name/energy_stats.npy
cp dump/train/pitch_stats.npy exp/$model_name/pitch_stats.npy
cp dump/train/speech_stats.npy exp/$model_name/speech_stats.npy
fi
fi
if [ ${fastspeech2} == False ]; then
echo "model: speedyspeech"
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
echo "duration"
python tools/gen_duration_from_textgrid.py \
--inputdir=data/TextGrid \
--output=data/durations.txt \
--config=train/conf/speedyspeech/default_multi.yaml || exit -1
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
echo "preprocess"
python train/exps/speedyspeech/preprocess.py \
--dataset=other \
--rootdir=data/ \
--dumpdir=dump \
--dur-file=data/durations.txt \
--config=train/conf/speedyspeech/default_multi.yaml \
--num-cpu=16 \
--cut-sil=True \
--use-relative-path=True || exit -1
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
echo "compute statistics"
python tools/compute_statistics.py \
--metadata=dump/train/raw/metadata.jsonl \
--field-name="feats" \
--use-relative-path=True|| exit -1
fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "normalize"
python train/exps/speedyspeech/normalize.py \
--metadata=dump/train/raw/metadata.jsonl \
--dumpdir=dump/train/norm \
--stats=dump/train/feats_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--tones-dict=dump/tone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt \
--use-relative-path=True || exit -1
python train/exps/speedyspeech/normalize.py \
--metadata=dump/dev/raw/metadata.jsonl \
--dumpdir=dump/dev/norm \
--stats=dump/train/feats_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--tones-dict=dump/tone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt \
--use-relative-path=True || exit -1
python train/exps/speedyspeech/normalize.py \
--metadata=dump/test/raw/metadata.jsonl \
--dumpdir=dump/test/norm \
--stats=dump/train/feats_stats.npy \
--phones-dict=dump/phone_id_map.txt \
--tones-dict=dump/tone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt \
--use-relative-path=True || exit -1
fi
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ] ; then
echo "train"
python train/exps/speedyspeech/train.py \
--train-metadata=dump/train/norm/metadata.jsonl \
--dev-metadata=dump/dev/norm/metadata.jsonl \
--config=train/conf/speedyspeech/default_multi.yaml \
--output-dir=exp/$model_name \
--ngpu=1 \
--phones-dict=dump/phone_id_map.txt \
--tones-dict=dump/tone_id_map.txt \
--speaker-dict=dump/speaker_id_map.txt \
--use-relative-path=True || exit -1
fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
echo "copy files to model"
cp dump/phone_id_map.txt exp/$model_name/phone_id_map.txt
cp dump/speaker_id_map.txt exp/$model_name/speaker_id_map.txt
cp dump/tone_id_map.txt exp/$model_name/tone_id_map.txt
cp dump/train/feats_stats.npy exp/$model_name/feats_stats.npy
fi
fi