Researchers propose system to estimate verbal fluency index in Motor Neuron Disease using ASR and pause modelling
A study published on arXiv proposes a system for estimating the Verbal Fluency Index (VFI) in people with Motor Neuron Disease (MND) using automated speech analysis. The approach combines ASR via WhisperX and VAD via Silero with refined timestamping to predict VFI and extract clinically interpretable measures. The system was evaluated on a unique MND dataset and outperformed methods based on…
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Key points
- The system uses WhisperX for ASR and Silero for VAD with refined timestamping to estimate VFI in MND
- Best models achieved R² 0.9 and NRMSE 0.05 for P-words, and R² 0.8 and NRMSE 0.08 for S-words
- Clinically inspired features outperformed traditional acoustic features and self-supervised embeddings
Read the original at arXiv cs.CL · by Bahman Mirheidari, Leslie Ing, Daniel Blackburn, Sharon Abrahams, Christopher McDermott, Heidi Christensen primary sourceOpen source ↗
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WhisperXSilero
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