SIG 5 Perspectives Vol. 21, No. 2, October 2011

Abstract

You have accessPerspectives on Speech Science and Orofacial DisordersCE Questions1 Oct 2011SIG 5 Perspectives Vol. 21, No. 2, October 2011Earn 0.1 CEUs on This Issue James M. Hillenbrand James M. Hillenbrand Google Scholar More articles by this author https://doi.org/10.1044/ssod21.2.1-ce SectionsAboutPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In Hillenbrand: Acoustic Analysis of Voice: A Tutorial 1. A challenge associated with use of the airborne acoustic signal to study vocal function is that it is quite distinct from the signal that enters the ear. it requires the use of very expensive, sophisticated laboratory equipment. it strongly emphasizes the lower frequency components of the voice signal. it not only reflects laryngeal function, but also resonant characteristics of the vocal tract. 2. A disadvantage of performing acoustic analysis on monotone sustained vowels is that analysis results do not necessarily generalize to connected speech. is that it introduces problems associated with individual variability in speaking style. stems from a lack of acoustic analysis approaches that may be used with this vocal task. is that sustained vowels are technically difficult to record. 3. Jitter or pitch perturbation is defined as an estimate of the cycle-to-cycle fluctuation in the amplitudes of adjacent pitch pulses. estimates the relative energy located in the high frequency regions of the sound spectrum. is one of many measures that reflect signal periodicity. has a single, well-defined method of calculation uniformly implemented within the professional discipline. 4. A measure that is strongly correlated with listener ratings of breathiness is Cepstral Peak Prominence (CPP). fundamental frequency. jitter. vocal intensity. 5. A challenge associated with using acoustic measures to infer underlying laryngeal pathology is that we have a very poor understanding of laryngeal pathology. audio recording equipment does not currently have the fidelity to accurately record pathological voice qualities. there are currently no acoustic measures that correlate with perceptual ratings of voice. different laryngeal pathologies can exhibit similar acoustic features such as turbulent noise. Callahan Mandulak: “I Can See What You're Saying”: Clinical Utility of Spectral Moment Analysis 6. Spectral moment analysis can distinguish between [s] and [f] due to the degree of categorical distinction between sibilant and nonsibilant fricatives. the distinctive spectral shapes of sibilant fricatives versus nonsibilant fricatives. the difference in appearance of sibilant and nonsibilant fricatives on a spectrogram. the relationship between auditory-perceptual analysis of sibilant versus nonsibilant fricatives. 7. The consonant [s] has higher frequency noise energy compared to [ʃ] because periodic sound waves contain higher frequency noise compared to aperiodic noise. articulation of [s] requires a sublingual space to be created for resonance of aperiodic noise. [ʃ] is produced posterior to [s], reflecting distinct articulatory configurations and therefore differing acoustic output. increased airflow for [s] production increases the frequency of noise contained in the fricative. 8. A time-history plot displaying fricative production allows for inspection of qualitative details regarding individual speaker's speech sound patterns, including duration or degree of distinction. comparison of group data for the purposes of determining statistically significant differences. documentation of speech outcomes from a quantitative standpoint. objective computation of fricative duration. 9. It is important to inspect data such as range of performance for an individual speaker's speech production skills in addition to group data because individual speakers often behave differently than the group average. it is not important to investigate the range of normal performance. adult speakers all produce the fricatives [s] and [ʃ] with similar dynamic patterns. individual speaker data is not as important as group data. 10. Which of the following statements is true about spectral moment analysis and children with repaired cleft palate? Spectral moment analysis would not be useful to measure pre- and post-intervention progress on specific obstruent consonant targets. Children with repaired cleft palate have velopharyngeal dysfunction and hypernasal resonance, which can be objectively measured with spectral moment analysis. The turbulence produced by fricative consonants is not typically distorted in children with repaired cleft palate, and therefore spectral moment analysis would not be adequately utilized for speech assessment. Spectral moment analysis provides an objective measure of articulation skill. Additional Resources FiguresReferencesRelatedDetails Volume 21Issue 2October 2011Pages: C1-C2 History Published in issue: Oct 1, 2011 Get Permissions Add to your Mendeley library Metrics Topicsasha-topicsasha-sigsasha-article-typesCopyright & Permissions© 2011 American Speech-Language-Hearing AssociationPDF downloadLoading ...