This thesis consists of five articles and a summary. The thesis deals with methods for measuring properties of the voice. The methods are all computer-based, but utilise different approaches for measuring different aspects of the voice. Paper I introduces the Visual Sort and Rate (VSR) method for perceptual rating of voice quality. The method is based on the Visual Analogue Scale (VAS), but simultaneously shows all stimuli as icons along the VAS on the computer screen. As the listener places similar-sounding stimuli close to each other during the rating process, comparing stimuli becomes easier. Paper II introduces the correlogram. Fundamental frequency F0 sometimes cannot be strictly defined, particularly for perturbed voice signals. The method displays multiple consecutive correlation functions in a grey scale image. Thus, the correlogram avoids selecting a single F0 value. Rather it presents an unbiased image of periodicity, allowing the investigator to select among several candidates, if appropriate. Paper III introduces a method for detection of phonation to be utilised in voic
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