Another attempt for ComParE 2023 Emotion Share
Forked from https://github.com/VincentKaras/a-vb-emotions
See my other attempt: https://github.com/bagustris/compare2023
$ conda create -n compare2023_share python=3.9
$ conda activate compare2023_share
$ pip install -r requirements.txt
$ pip install git+https://github.com/end2you/end2you.git
For using specific GPU, use CUDA_VISIBLE_DEVICES environment variable. For example, to use GPU 1, run the following command:
$ CUDA_VISIBLE_DEVICES=1 ./train.py -n "window_6" --window_size 6 train --train_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/train.csv --val_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/devel.csv --test_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/test.csv --wav_folder /data/14_ComParE23_HPC_AIST-SPRT/data/wav/
See run_batch.sh for running in batch mode.
Use the calculate_spearman.py command to calculate the (Spearman) score of results (change the path of the true labels with your own).
$ ./calculate_spearman.py result/2023-06-22-14-50-14/