Voice dysfunction in XXXX : application of the Multi-Dimensional Voice Program.

@entity1 @entity131 @entity64 @entity73 @entity191 @entity400 @entity76 @entity746 @entity1740 @entity4653
Phonatory dysfunction is a frequent component of @entity4653 and often is a primary feature noted in clinical assessment. But the @entity73 can be difficult to assess because (a). the analysis of @entity1740 of any kind can be challenging, and (b). the @entity1740 in @entity4653 often occurs along with other impairments affecting articulation, resonance, and respiration. A promising assessment tool is multi-parameter acoustic analysis, such as the Multi-Dimensional Voice Program (MDVP). Part 1 of this paper recommends procedures and standards for the acoustic analysis of voice, including (1). selection of the sample to be analyzed, (2). signal quality requirements, (3). availability of normative data for both genders and different ages of speakers, (4). reliability of analysis, and (5). correlation of acoustic results with results from other methods of analysis. In Part 2, acoustic data are reviewed for the @entity4653 associated with @entity191 ( @entity191 ), @entity76 , @entity746 ( @entity746 ), @entity131 ( @entity131 ), unilateral @entity64 , and essential @entity400 . Tentative profiles of @entity1740 are described for these conditions. These profiles may serve as hypotheses for future research. Although several issues remain to be resolved in the acoustic analysis of @entity1740 in @entity4653 , steps can be taken now to promote the reliability, validity, and clinical utility of such analyses. (1). As a result of this activity, the @entity1 will be able to describe ways in which an optimal multi-dimensional analysis of voice can be performed with modern acoustic analysis systems. (2). As a result of this activity, the @entity1 will be able to apply multi-dimensional acoustic analysis of voice to individuals who have a @entity4653 -related @entity1740 . (3). As a result of this activity, the @entity1 will be able to identify major sources of normative data on the Multi-Dimensional Voice Program.
