In the clinical analysis and treatment of voice disorders, software packages allow the extraction of acoustic voice parameters, such as fundamental frequency, from patient vocal productions. The utility of such software packages in the clinical situation, however, is dependent upon consistency in their use and in interpretation of the analyses they provide. The present study focused on the extraction and interpretation of voice pitch data. Samples from eight trained singers who were asked to match the pitch of both pure tones and synthesized human voice were submitted to the Kay Elemetrics Computerized Speech Lab for analysis. Estimates of voice pitch were made by three judges, and the inter-rater reliability was measured. Results indicated that judges were very consistent in the estimation of token duration but varied widely in estimates of fundamental frequency. These results have important implications for use of such software packages in clinical diagnosis and treatment.ASC Undergraduate Research ScholarshipSBS Undergraduate Research Scholarshi
