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Speech has become an increasingly important source of non-invasive information for Parkinson's disease detection, but much existing work still relies on sustained vowels. This thesis investigates whether carefully represented continuous speech can provide added predictive value over a strong sustained-vowel benchmark. Using the NeuroVoz corpus, sustained-vowel recordings were first used to est
