Acoustic and Perceptual Indicators of Normal and Pathological Voice

Muñoz, Juan Jesús López-Guadalupe; Mendoza, E.; Fresneda, M. D.; Carballo, Gloria; López, P.

doi:10.1159/000070092

Cited by 38 publications

(23 citation statements)

References 57 publications

(101 reference statements)

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“…15 Such inconsistent findings across studies, possibly confounded by differing methodologies and different rating scales, underline some of the difficulties of achieving meaningful and reliable scores for perceptual evaluation of voice.…”

Section: Discussionmentioning

confidence: 99%

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Reliability of perceptions of voice quality: evidence from a problem asthma clinic population

et al. 2009

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Introduction: Methods of perceptual voice evaluation have yet to achieve satisfactory consistency; complete acceptance of a recognised clinical protocol is still some way off.Materials and methods: Three speech and language therapists rated the voices of 43 patients attending the problem asthma clinic of a teaching hospital, according to the grade-roughness-breathinessasthenicity-strain (GRBAS) scale and other perceptual categories.Results and analysis: Use of the GRBAS scale achieved only a 64.7 per cent inter-rater reliability and a 69.6 per cent intra-rater reliability for the grade component. One rater achieved a higher degree of consistency. Improved concordance on the GRBAS scale was observed for subjects with laryngeal abnormalities. Raters failed to reach any useful level of agreement in the other categories employed, except for perceived gender.Discussion: These results should sound a note of caution regarding routine adoption of the GRBAS scale for characterising voice quality for clinical purposes. The importance of training and the use of perceptual anchors for reliable perceptual rating need to be further investigated.

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Section: Discussionmentioning

confidence: 99%

“…8 -13 However, there continues to be an issue regarding variability in listener perception in relation to normal and pathological voices. 14,15 Indeed, the collective work of Kreiman's group has led them to conclude that, '. .…”

Section: Introductionmentioning

confidence: 99%

Reliability of perceptions of voice quality: evidence from a problem asthma clinic population

et al. 2009

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“…The synthesis techniques employed in the earliest studies ͑Wendahl, 1963, 1966a, b͒ did not include vocal-tract filtering, and used a highly unnatural sawtooth source along with levels of jitter and shimmer ͑up to Ϯ50%͒ that greatly exceed those usually associated with the human voice ͑e.g., Andrianopoulos et al, 2001;Munoz et al, 2003͒. Stimuli lacked pitch contours or formant structure, and varied in only one acoustic dimension at a time.…”

Section: Introductionmentioning

confidence: 99%

Perception of aperiodicity in pathological voice

Kreiman

Gerratt

2005

The Journal of the Acoustical Society of America

126

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Although jitter, shimmer, and noise acoustically characterize all voice signals, their perceptual importance in naturally produced pathological voices has not been established psychoacoustically. To determine the role of these attributes in the perception of vocal quality, listeners were asked to adjust levels of jitter, shimmer, and the noise-to-signal ratio in a speech synthesizer, so that synthetic voices matched naturally produced tokens. Results showed that, although listeners agreed well in their judgments of the noise-to-signal ratio, they did not agree with one another in their chosen settings for jitter and shimmer. Noise-dependent differences in listeners' ability to detect changes in amounts of jitter and shimmer implicate both listener insensitivity and inability to isolate jitter and shimmer as separate dimensions in the overall pattern of aperiodicity in a voice as causes of this poor agreement. These results suggest that jitter and shimmer are not useful as independent indices of perceived vocal quality, apart from their acoustic contributions to the overall pattern of spectrally shaped noise in a voice.

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“…MDVP is one of the extensively used computer-based software systems since its introduction to the research field in 1982. 9 All the evaluations in this study were performed by a speech-language therapist and an otorhinolaryngologist experienced in this type of assessments. The microphone used was a Shure SM 48 dynamic, and it was kept at a fixed distance of 5 cm, in front of the subject's mouth.…”

Section: Acoustic Analysis: Equipment and Voice Samplementioning

confidence: 99%

“…Soft phonation index (SPI) is an average ratio of the lower frequency harmonic energy (70 Hz-1600 Hz) to the higher frequency (1600 Hz-4500 Hz) harmonic energy. 9,10 Eleven out of 33 MDVP acoustic parameters of voice were chosen for this study. The other MDVP parameters were excluded since they were irrelevant for the purposes of the study or since they lacked sufficient proof of validity in the literature.…”

Section: Amplitude Perturbation Quotient (Apq%)mentioning

confidence: 99%