BenRFisher / Machinelearning-parkinsons_audio_diagnosis

creates ML model to diagnose parkinsons based on sustain vowel phonation audio clip. Using Parselmouth, extracts audio data from inputted audio clip and determines parkinson's diagnosis of user. (audio is sustained vowel phonation). uses audio data from (Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering)

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creates ML model to diagnose parkinsons based on sustain vowel phonation audio clip. Using Parselmouth, extracts audio data from inputted audio clip and determines parkinson's diagnosis of user. (audio is sustained vowel phonation). uses audio data from (Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering)


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