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ACMAD ➰

GitHub python pytorch PyPI

Acoustic Cues for Multilingual Abuse Detection

Code to acompanying Interspeech-23 Paper: Investigating Acoustic Cues for Multilingual Abuse Detection

Feature Extraction

  • Download the extracted language and emotion features of ADIMA dataset from here.

Training and Testing

  • For training the model from scratch; see Script.
  • For testing the model using our best saved checkpoint; see Script.

Contact

Yash Thakran yash20269@iiitd.ac.in

Vinayak Abrol abrol@iiitd.ac.in

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Acoustic Cues for Multilingual Abuse Detection (ACMAD)

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