Download model to the folder final_model
pip install -r ./requirements.txt
Create folder data/datasets/speech_separation/
, where the dataset will be created using command:
python src/mixer/generate_ss_data.py
python test.py \
-c final_model/test_config.json \
-r final_model/model_best.pth \
-t TEST_DATASET_PATH \
-o test_result.json
python train.py \
-c src/train_config_step1.json \
-wk "YOUR_WANDB_API_KEY"
python train.py \
-c src/train_config_step2.json \
-wk "YOUR_WANDB_API_KEY" \
-p "PATH TO THE LATEST CHECKPOINT FROM TRAIN 1"
python train.py \
-c src/train_config_step3.json \
-wk "YOUR_WANDB_API_KEY" \
-p "PATH TO THE LATEST CHECKPOINT FROM TRAIN 2"