An Acoustic-Perceptual Study of Vocal Tremor

Anand, Supraja; Shrivastav, Rahul; Wingate, Judith M.; Chheda, Neil N.

doi:10.1016/j.jvoice.2012.02.007

Cited by 13 publications

(10 citation statements)

References 31 publications

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Section: Discussionmentioning

confidence: 86%

“…The main effect of vocal tremor on the acoustic signal is a combination of amplitude and frequency modulation [10,13]. In contrast, other perturbation measures such as noise seem not to be related to tremor [10].…”

Section: Discussionmentioning

confidence: 90%

“…In contrast, other perturbation measures such as noise seem not to be related to tremor [10]. As for modulation parameters, modulation extent has been reported to be much more significant for the perception of tremor than modulation rate [9,10]. This is coherent with the fact that physiologic and pathological tremors happen within overlapped frequency ranges [1,8,9].…”

Section: Discussionmentioning

confidence: 92%

“…However, the modulation rate is not definite in discriminating between physiological and pathological voice tremors. Jiang et al and Anand et al showed that for pathological voice tremors, with rates between 4 and 7 Hz, the difference with physiological voice tremor was more in the modulation extent (or modulation amplitude) than in the modulation rate [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding perception, frequency modulation seems to be the most relevant feature for the perceptual detection of vocal tremor [10,13] but tremor is only perceived if its intensity (i.e. modulation extent) is above a certain threshold [6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Simulation of tremulous voices using a biomechanical model

Fraile

Godino-Llorente

Kob

2015

J AUDIO SPEECH MUSIC PROC.

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Vocal tremor has been simulated using a high-dimensional discrete vocal fold model. Specifically, respiratory, phonatory, and articulatory tremors have been modeled as instabilities in six parameters of the model. Reported results are consistent with previous knowledge in that respiratory tremor mainly causes amplitude modulation of the voice signal while laryngeal tremor causes both amplitude and frequency modulation. In turn, articulatory tremor is commonly assumed to produce only amplitude modulations but the simulation results indicate that it also produces a high-frequency modulation of the output signal. Furthermore, articulatory tremor affects the frequency response of the vocal tract and it might thus be detected by analyzing the spectral envelope of the acoustic signal.

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Section: Discussionmentioning

confidence: 86%

Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of tremulous voices using a biomechanical model

Fraile

Godino-Llorente

Kob

2015

J AUDIO SPEECH MUSIC PROC.

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Voice Improvement After Essential Tremor Treatment via Focused Ultrasound and Deep Brain Stimulation

Larner,

Jonas,

Gutierrez

et al. 2023

The Laryngoscope

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ObjectivesThe primary objective of this study was to determine whether two neurosurgical procedures, deep brain stimulation (DBS) and focused ultrasound (FUS), to treat essential tremor (ET) of the upper limb also reduce vocal tremor (VT) in patients with comorbid dysphonia.MethodsTwelve patients with ET and concomitant VT scheduled for neurosurgical intervention (FUS or DBS) or returning for follow‐up after DBS implantation were assessed. FUS patients were assessed pre‐ and post‐intervention and DBS patients were assessed with the electrodes turned on and off post‐implantation. Three voice recordings of a sustained /a/ were obtained for each participant condition. Percent fundamental frequency variability (FFV) was calculated for each recorded sustained vowel. Additionally, blinded expert perceptual VT rating (VTR) was performed to assess subjective changes in tremors.ResultsOf the 12 patients, seven underwent unilateral FUS, and five underwent bilateral DBS. Mean FFV without neurosurgical intervention was 18.3%, SD = 7.8 and with neurosurgical intervention was 6.3%, SD = 3.0 (t (70) =8.7, p < 0.001). Mean FFV decreased in the FUS cohort from 22.0%, SD = 7.1 pre‐ablation to 6.7%, SD = 2.4 post‐ablation (t (40) = 7.7, p < 0.001). Mean FFV also decreased in the DBS cohort from 15.7%, SD = 7.0 to 6.0%, SD = 3.3 when stimulation was turned on (t (28)=5.7 p < 0.001). In the FUS group, mean VTR decreased from 4.0 to 1.4 post‐ablation (Z = 7.8, p < 0.001). In the DBS group, mean VTR decreased from 3.3 to 2.1 with stimulation (Z = 4.1, p < 0.001).ConclusionNeurosurgical interventions for ET (bilateral DBS and unilateral FUS) demonstrate acoustic and perceptual benefits for VT.Level of Evidence4 Laryngoscope, 2023

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Transducer-based evaluation of tremor

et al. 2016

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The Movement Disorder Society (MDS) established a task force on tremor that reviewed the use of transducer-based measures in the quantification and characterization of tremor. Studies of accelerometry, electromyography, activity monitoring, gyroscopy, digitizing tablet-based measures, vocal acoustic analysis, and several other transducer-based methods were identified by searching PubMed.gov. The availability, use, acceptability, reliability, validity, and responsiveness were reviewed for each measure using the following criteria: 1) used in the assessment of tremor, 2) used in published studies by people other than the developers, and 3) adequate clinimetric testing. Accelerometry, gyroscopy, electromyography, and digitizing tablet-based measures fulfilled all three criteria. Compared to rating scales, transducers are far more sensitive to changes in tremor amplitude and frequency, but they do not appear to be more capable of detecting a change that exceeds random variability in tremor amplitude (minimum detectable change). The use of transducer-based measures requires careful attention to their limitations and validity in a particular clinical or research setting.

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An Acoustic-Perceptual Study of Vocal Tremor

Cited by 13 publications

References 31 publications

Simulation of tremulous voices using a biomechanical model

Simulation of tremulous voices using a biomechanical model

Voice Improvement After Essential Tremor Treatment via Focused Ultrasound and Deep Brain Stimulation

Transducer-based evaluation of tremor

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