Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345209 | Computer Methods and Programs in Biomedicine | 2005 | 6 Pages |
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 â0.119.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Louis A. Gottschalk, Robert J. Bechtel,