Machine learning models using repetition tasks predict dysarthria-related quality of life and clinical scores in 66 German ALS patients, achieving CCC 0.62 cross-sectionally and 0.86 within-speaker.
Deve l- opment and validation of a wav2vec 2.0-based cross-languag e methodology for measurement of articulatory precision,
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Towards Speech Impairment Prediction in German-Speaking Individuals with Amyotrophic Lateral Sclerosis
Machine learning models using repetition tasks predict dysarthria-related quality of life and clinical scores in 66 German ALS patients, achieving CCC 0.62 cross-sectionally and 0.86 within-speaker.