title: Influence of data acquisition environment on accuracy of acoustic voice quality measurements.
abstract: Accuracy of acoustic voice analysis is influenced by the quality of recording. Lately, articles have suggested that soundcards perform equivalently to specialized professional-grade data acquisition (DA) systems. The purpose of this study was to investigate the influence of DA environment (DA system and microphone) on acoustic voice quality measurement (VQM) while balancing for gender, age, intersubject and intrasubject variability, and analysis software. More specifically, the relative performance of different hardware environments and the relationship between their technical characteristics and VQM performance was investigated. The discretization error and the effective dynamic range of the different DA environments were measured. We used 3 software systems to record and measure separately 2000 acoustic samples of sustained phonation for fundamental frequency, jitter, and shimmer. Analyses of variance (ANOVA) were performed with these parameters as the dependent variables. The results of the study suggested that professional-grade DA hardware is strongly recommended to provide accurate and valid voice assessment. The fundamental frequency measurement differences across DA environments were highly correlated to the discretization error (r=1.00), whereas jitter and shimmer were highly correlated to the effective dynamic range of the DA environments (r=-0.68 and r=-0.86, respectively).
authors.affiliation: Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC 29208, USA. ddeliyski@sc.edu
authors.forename: Dimitar D
authors.initials: DD
authors.lastname: Deliyski
authors.forename: Maegan K
authors.initials: MK
authors.lastname: Evans
authors.forename: Heather S
authors.initials: HS
authors.lastname: Shaw
mesh_terms: D000328:Adult; D004777:Environment; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D013061:Speech Acoustics; D014832:Voice Disorders / Q000175:diagnosis / Q000503:physiopathology; D014833:Voice Quality