Codes for extracting features of IEMOCAP with Open Smile tool kit
Ouput - csvs file or/and pickle file of extracted features
- Linux
- python 3.8
- Set up OpenSmile toolkit for your server
- Download link
- OpenSmile documents : https://audeering.github.io/opensmile/
-
Clone this repo at your server
git clone https://github.com/jade0520/Feature_Extraction_OpenSmile.git
-
Excute below
bash run.sh
- extract_wavs
- csvs_to_pickle_all : save all data as one pickle
- csvs_to_N_fold_pickles_labels : divede labels for cross fold validation (1/5/10 folds & independent/dependent)
- csvs_to_N_fold_pickle : save feature csvs as array pickles based on devided label folds
- ./tool/helper.py : https://github.com/KrishnaDN/speech-emotion-recognition-using-self-attention/blob/master/helper.py
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Any comments or opinions are welcome;)