docker-compose up -d
poetry install
./.devcontainer/vscode_extentions_install_batch.sh
poetry run python ./src/dataset/preprocess/select_dataset_audio.py \
--dataset_dir_list /data/jvs_vc/ /data/lecture_vc/ /data/common_voice/ /data/vc_dataset/ \
--output_dir /data/voc16k \
--sample_rate 16000 \
--audio_time_sec_max 15 \
--spk_time_sec_max 1800
python ./pipeline/train/exp0001.py
pytorch lightning module から、pytorch module に変更
python ./src/helper/plmodule_to_torch.py \
--checkpoint checkpoints/00002/checkpoint-epoch=0426-val_l1_loss=0.0823.ckpt \
--output ./data/avocodo_v1.pth
tensorboard --logdir=./logs/ --host=0.0.0.0 --port=18282
Avocodo: Generative Adversarial Network for Artifact-Free Vocoder
モデル | description |
---|---|
avocodo_v1.pth | 正規化音で学習したボコーダー |
gdown https://drive.google.com/u/1/uc?id=1GgLsmDRqVM9JzT7HcUYW8BR0dh5a1IPm -O avocodo_v1.pth