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The studies in the latter group raise a concern that values generated by different systems are not always comparable and that care should be taken in managing and interpreting data from these systems. Second, a few studies examined the accuracy and/or reliability of measures of voice, such as the perturbation measures of jitter and shimmer ( Bielamowicz, Kreiman, Gerratt, Dauer & Berke, 1996 Deliyski, Evans, & Shaw, 2005 Karnell, Hall & Landahl, 1995 Smits, Ceuppens & De Bodt, 2005).

First, a small number of studies reported on comparisons of features across systems ( Read, Buder & Kent, 1990, 1992) or described general approaches to signal acquisition and analysis without comparing systems ( Ingram, Bunta & Ingram, 2004 Read, Buder, & Kent, 1990, 1992 Vogel & Maruff, 2008).

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Previous studies of acoustic analysis software packages (AASP) for speech have been of two major types. Furthermore, there is no assurance that the accumulating data gathered from these different systems can be assumed to be accurate and comparable, for healthy or disordered speech, for males or females, or for children as well as adults. However, neutral and objective evaluations of these systems’ measurements have not been reported, so that potential users have little guidance in selecting a system for their use. Use of these software systems is almost certain to lead to a substantial increase in the application of acoustic measures and to the further development of acoustic databases for speech.

Software for digital acoustic analysis of speech offers unprecedented opportunities for the analysis of speech samples for different purposes, including education, clinical practice, and research.

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