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32 lines
1.0 KiB
32 lines
1.0 KiB
2 years ago
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#!/bin/bash
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model_dir=$1
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output=$2
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am_name=fastspeech2_csmscljspeech_add-zhen
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am_model_dir=${model_dir}/${am_name}/
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stage=1
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stop_stage=1
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# hifigan
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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FLAGS_allocator_strategy=naive_best_fit \
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FLAGS_fraction_of_gpu_memory_to_use=0.01 \
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python3 ${BIN_DIR}/../synthesize_e2e.py \
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--am=fastspeech2_mix \
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--am_config=${am_model_dir}/default.yaml \
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--am_ckpt=${am_model_dir}/snapshot_iter_94000.pdz \
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--am_stat=${am_model_dir}/speech_stats.npy \
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--voc=hifigan_ljspeech \
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--voc_config=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/default.yaml \
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--voc_ckpt=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/snapshot_iter_2500000.pdz \
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--voc_stat=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/feats_stats.npy \
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--lang=mix \
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--text=${BIN_DIR}/../sentences_mix.txt \
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--output_dir=${output}/test_e2e \
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--phones_dict=${am_model_dir}/phone_id_map.txt \
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--speaker_dict=${am_model_dir}/speaker_id_map.txt \
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--spk_id 0
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fi
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