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Automatic estimation of verbal fluency index in people with Motor Neuron Disease using ASR alignment and pause modelling
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ASRspeech analysiscognitive impairmentmotor neuron disease
2609.38203
Builder Relevance
1h ago70%
Abstract
This study proposes a system for estimating the Verbal Fluency Index in people with Motor Neuron Disease using automated speech analysis.
Reality Card
Core Claim
The proposed system outperformed traditional acoustic features and self-supervised embeddings in estimating the Verbal Fluency Index.
Method / Result
Best models achieved R2 of 0.9 for P-words and 0.8 for S-words.
Limitations
The study relies on a unique MND dataset, which may limit generalizability.
Paper to code
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