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This paper proposes an automated system for estimating the Verbal Fluency Index in Motor Neuron Disease patients by combining WhisperX ASR alignment, Silero VAD, and pause modelling, outperforming traditional acoustic features and self-supervised embeddings with clinically interpretable measures achieving R² up to 0.9.