Anatomy and Neuroscience - Research Publications

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Author: Maruff, Paul × Author: Vogel, Adam × End date: 2009 × Start date: 2006 ×

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    Comparison of voice acquisition methodologies in speech research
    Vogel, AP ; Maruff, P (SPRINGER, 2008-11)
    The use of voice acoustic techniques has the potential to extend beyond work devoted purely to speech or vocal pathology. For this to occur, however, researchers and clinicians will require acquisition technologies that provide fast, accurate, and cost-effective methods for recording data. Therefore, the present study aimed to compare industry-standard techniques for acquiring high-quality acoustic signals (e.g., hard drive and solid-state recorder) with widely available and easy-to-use, computer-based (standard laptop) data-acquisition methods. Speech samples were simultaneously acquired from 15 healthy controls using all three methods and were analyzed using identical analysis techniques. Data from all three acquisition methods were directly compared using a variety of acoustic correlates. The results suggested that selected acoustic measures (e.g., f 0, noise-to-harmonic ratio, number of pauses) were accurately obtained using all three methods; however, minimum recording standards were required for widely used measures of perturbation.
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    Standardization of pitch-range settings in voice acoustic analysis
    Vogel, AP ; Maruff, P ; Snyder, PJ ; Mundt, JC (PSYCHONOMIC SOC INC, 2009-05)
    Voice acoustic analysis is typically a labor-intensive, time-consuming process that requires the application of idiosyncratic parameters tailored to individual aspects of the speech signal. Such processes limit the efficiency and utility of voice analysis in clinical practice as well as in applied research and development. In the present study, we analyzed 1,120 voice files, using standard techniques (case-by-case hand analysis), taking roughly 10 work weeks of personnel time to complete. The results were compared with the analytic output of several automated analysis scripts that made use of preset pitch-range parameters. After pitch windows were selected to appropriately account for sex differences, the automated analysis scripts reduced processing time of the 1,120 speech samples to less than 2.5 h and produced results comparable to those obtained with hand analysis. However, caution should be exercised when applying the suggested preset values to pathological voice populations.