Local CLI that strips disfluencies (um, uh, er, erm, ah, hmm, mhm, mm, uh-huh, etc) from recordings of English speech.

Code for the paper "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems" (Igor Shalyminov, Arash Eshghi, and Oliver Lemon)

Generating artificial disfluencies from fluent text easily and promptly

Example codes for my PhD work on recognizing dimensional emotions in spoken dialogue

Code for our INTERSPEECH 2024 paper: Comparing ASR Systems in the Context of Speech Disfluencies.

Studies exploring disfluency effect and influence of fonts on memory