Files

37 lines
878 B
Bash

#!/bin/bash
set -e
CKPT_DIR="/piper/lightning_logs"
VOICE_NAME=${VOICE_NAME:-pt_BR-well}
latest_checkpoint() {
ls -t ${CKPT_DIR}/version_*/checkpoints/*.ckpt | head -n1
}
if compgen -G "${CKPT_DIR}/version_*/checkpoints/*.ckpt" > /dev/null; then
CKPT=$(latest_checkpoint)
RESUME_ARG="--ckpt_path $CKPT"
echo "Resuming: $CKPT"
fi
python3 -m piper.train fit \
--data.voice_name $VOICE_NAME \
--data.espeak_voice pt-br \
--data.audio_dir /data/wav/ \
--data.batch_size 16 \
--data.cache_dir /data/.cache/ \
--data.config_path /data/${VOICE_NAME}-medium.onnx.json \
--data.csv_path /data/metadata.csv \
--model.sample_rate 22050 \
--trainer.check_val_every_n_epoch 1 \
--trainer.max_epochs 10000 \
$RESUME_ARG
CKPT=$(latest_checkpoint)
python3 -m piper.train.export_onnx \
--checkpoint $CKPT \
--output-file /data/${VOICE_NAME}-medium.onnx