/BS-GSA

Primary LanguagePythonMIT LicenseMIT

BS-GSA: Speech Emotion Recognition via Blend-Sample Empowered Global & Spectral Attentive Paradigm

Replicating our results

  • Download our pre-extracted feature file from Google Drive (personal share).
    • Warning: clicking the Google Drive share link will immediately reveal the author identity
    • The file is split to zip files, so the partitioned_features file will need to be decompressed
  • Create a experiment directory for storing log, data and models
  • Run train_test.sh in the experiment directory
    • ../train_test.sh <FEATURE_FILE>
  • For more usage, see full code for model structure, data processing and training.