|
|
|
|
#!/bin/bash
|
|
|
|
|
|
|
|
|
|
config_path=$1
|
|
|
|
|
train_output_path=$2
|
|
|
|
|
ckpt_name=$3
|
|
|
|
|
stage=0
|
|
|
|
|
stop_stage=0
|
|
|
|
|
|
|
|
|
|
# pwgan
|
|
|
|
|
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
|
|
|
|
|
FLAGS_allocator_strategy=naive_best_fit \
|
|
|
|
|
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
|
|
|
|
|
python3 ${BIN_DIR}/../synthesize.py \
|
|
|
|
|
--am=speedyspeech_csmsc \
|
|
|
|
|
--am_config=${config_path} \
|
|
|
|
|
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
|
|
|
|
|
--am_stat=dump/train/speech_stats.npy \
|
|
|
|
|
--voc=pwgan_csmsc \
|
|
|
|
|
--voc_config=pwg_baker_ckpt_0.4/pwg_default.yaml \
|
|
|
|
|
--voc_ckpt=pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz \
|
|
|
|
|
--voc_stat=pwg_baker_ckpt_0.4/pwg_stats.npy \
|
|
|
|
|
--test_metadata=dump/test/norm/metadata.jsonl \
|
|
|
|
|
--output_dir=${train_output_path}/test \
|
|
|
|
|
--phones_dict=dump/phone_id_map.txt \
|
|
|
|
|
--tones_dict=dump/tone_id_map.txt
|
|
|
|
|
fi
|
|
|
|
|
|
|
|
|
|
# for more GAN Vocoders
|
|
|
|
|
# multi band melgan
|
|
|
|
|
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
|
|
|
|
|
FLAGS_allocator_strategy=naive_best_fit \
|
|
|
|
|
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
|
|
|
|
|
python3 ${BIN_DIR}/../synthesize.py \
|
|
|
|
|
--am=speedyspeech_csmsc \
|
|
|
|
|
--am_config=${config_path} \
|
|
|
|
|
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
|
|
|
|
|
--am_stat=dump/train/speech_stats.npy \
|
|
|
|
|
--voc=mb_melgan_csmsc \
|
|
|
|
|
--voc_config=mb_melgan_csmsc_ckpt_0.1.1/default.yaml \
|
|
|
|
|
--voc_ckpt=mb_melgan_csmsc_ckpt_0.1.1/snapshot_iter_1000000.pdz\
|
|
|
|
|
--voc_stat=mb_melgan_csmsc_ckpt_0.1.1/feats_stats.npy \
|
|
|
|
|
--test_metadata=dump/test/norm/metadata.jsonl \
|
|
|
|
|
--output_dir=${train_output_path}/test \
|
|
|
|
|
--phones_dict=dump/phone_id_map.txt \
|
|
|
|
|
--tones_dict=dump/tone_id_map.txt
|
|
|
|
|
fi
|
|
|
|
|
|
|
|
|
|
# style melgan
|
|
|
|
|
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
|
|
|
|
|
FLAGS_allocator_strategy=naive_best_fit \
|
|
|
|
|
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
|
|
|
|
|
python3 ${BIN_DIR}/../synthesize.py \
|
|
|
|
|
--am=speedyspeech_csmsc \
|
|
|
|
|
--am_config=${config_path} \
|
|
|
|
|
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
|
|
|
|
|
--am_stat=dump/train/speech_stats.npy \
|
|
|
|
|
--voc=style_melgan_csmsc \
|
|
|
|
|
--voc_config=style_melgan_csmsc_ckpt_0.1.1/default.yaml \
|
|
|
|
|
--voc_ckpt=style_melgan_csmsc_ckpt_0.1.1/snapshot_iter_1500000.pdz \
|
|
|
|
|
--voc_stat=style_melgan_csmsc_ckpt_0.1.1/feats_stats.npy \
|
|
|
|
|
--test_metadata=dump/test/norm/metadata.jsonl \
|
|
|
|
|
--output_dir=${train_output_path}/test \
|
|
|
|
|
--phones_dict=dump/phone_id_map.txt \
|
|
|
|
|
--tones_dict=dump/tone_id_map.txt
|
|
|
|
|
fi
|
|
|
|
|
|
|
|
|
|
# hifigan
|
|
|
|
|
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
|
|
|
|
|
echo "in hifigan syn"
|
|
|
|
|
FLAGS_allocator_strategy=naive_best_fit \
|
|
|
|
|
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
|
|
|
|
|
python3 ${BIN_DIR}/../synthesize.py \
|
|
|
|
|
--am=speedyspeech_csmsc \
|
|
|
|
|
--am_config=${config_path} \
|
|
|
|
|
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
|
|
|
|
|
--am_stat=dump/train/speech_stats.npy \
|
|
|
|
|
--voc=hifigan_csmsc \
|
|
|
|
|
--voc_config=hifigan_csmsc_ckpt_0.1.1/default.yaml \
|
|
|
|
|
--voc_ckpt=hifigan_csmsc_ckpt_0.1.1/snapshot_iter_2500000.pdz \
|
|
|
|
|
--voc_stat=hifigan_csmsc_ckpt_0.1.1/feats_stats.npy \
|
|
|
|
|
--test_metadata=dump/test/norm/metadata.jsonl \
|
|
|
|
|
--output_dir=${train_output_path}/test \
|
|
|
|
|
--phones_dict=dump/phone_id_map.txt \
|
|
|
|
|
--tones_dict=dump/tone_id_map.txt
|
|
|
|
|
fi
|
|
|
|
|
|
|
|
|
|
# wavernn
|
|
|
|
|
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
|
|
|
|
|
echo "in wavernn syn"
|
|
|
|
|
FLAGS_allocator_strategy=naive_best_fit \
|
|
|
|
|
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
|
|
|
|
|
python3 ${BIN_DIR}/../synthesize.py \
|
|
|
|
|
--am=speedyspeech_csmsc \
|
|
|
|
|
--am_config=${config_path} \
|
|
|
|
|
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
|
|
|
|
|
--am_stat=dump/train/speech_stats.npy \
|
|
|
|
|
--voc=wavernn_csmsc \
|
|
|
|
|
--voc_config=wavernn_csmsc_ckpt_0.2.0/default.yaml \
|
|
|
|
|
--voc_ckpt=wavernn_csmsc_ckpt_0.2.0/snapshot_iter_400000.pdz \
|
|
|
|
|
--voc_stat=wavernn_csmsc_ckpt_0.2.0/feats_stats.npy \
|
|
|
|
|
--test_metadata=dump/test/norm/metadata.jsonl \
|
|
|
|
|
--output_dir=${train_output_path}/test \
|
|
|
|
|
--tones_dict=dump/tone_id_map.txt \
|
|
|
|
|
--phones_dict=dump/phone_id_map.txt
|
|
|
|
|
fi
|
