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. Author manuscript; available in PMC: 2021 Apr 26.
Published in final edited form as: IEEE J Sel Top Signal Process. 2019 Nov 7;14(2):282–298. doi: 10.1109/jstsp.2019.2952087

Fig. 1:

Fig. 1:

Overview of the process of using natural language processing and speech signal processing for extraction of speech and language features for clinical decision-making. Example language features include lexical complexity, syntactic complexity, semantic coherence, etc. Example of acoustic speech features include pause rate, prosody, articulation, etc.