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Influence of ASR and Language Model on Alzheimer's Disease Detection
Furthermore, we study the influence of a language model -- which tends to correct non-standard sequences of words -- with the lack of language model to decode the hypothesis from the ASR.
Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease
Both tasks have been performed extracting 28 features from speech -- based on prosody and voice quality -- and 51 features from the transcriptions -- based on lexical and turn-taking information.
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