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Found 2 papers, 1 papers with code
Exploring transfer learning for pathological speech feature prediction: Impact of layer selection
There is interest in leveraging AI to conduct automatic, objective assessments of clinical speech, in turn facilitating diagnosis and treatment of speech disorders.
Risk of re-identification for shared clinical speech recordings
Risk is high for a small search space but drops as the search space grows ($precision >0. 85$ for $<1*10^{6}$ comparisons, $precision <0. 5$ for $>3*10^{6}$ comparisons).
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