title: Computerized content analysis of speech plus speech recognition in the measurement of neuropsychiatric dimensions.
abstract: The Psychiatric Content Analysis and Diagnosis (PCAD) program performs automated content analysis of machine-readable transcriptions of speech samples to measure the magnitude of neuropsychiatric states and traits. Technological advances provided by computerized speech recognition may offer a possible alternative to labor-intensive manual transcription for preparation of samples for PCAD processing. To test this hypothesis, 25 digitally recorded verbal samples were transcribed both manually and by a commercially available speech recognition software package, and the transcriptions scored by PCAD. The inter-correlations between scores derived from the two different methods of transcriptions offer mixed results, with values ranging from a high of 0.920 to a low of -0.119.
authors.affiliation: Department of Psychiatry and Human Behavior, College of Medicine, University of California, Irvine, CA 92697, USA. lgottsch@uci.edu
authors.forename: Louis A
authors.initials: LA
authors.lastname: Gottschalk
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Bechtel
mesh_terms: D003072:Cognition Disorders / Q000150:complications / Q000175:diagnosis / Q000523:psychology; D006801:Humans; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D049250:Speech Recognition Software; D013066:Speech-Language Pathology / Q000706:statistics & numerical data; D019966:Substance-Related Disorders / Q000150:complications / Q000523:psychology