Effect of Deep Brain Stimulation on Different Speech Subsystems in Patients with Multiple Sclerosis

Pützer, Manfred; Barry, William J.; Moringlane, J. R.

doi:10.1016/j.jvoice.2006.05.007

Cited by 23 publications

(28 citation statements)

References 24 publications

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“…The Saarbrücken voice disorders database [28,38] holds a collection of speech registers from more than 2000 normal and pathological German speakers. It contains the recordings of the sustained phonation of vowels produced at normal, high and low pitch, as well as with rising-falling pitch.…”

Section: Saarbrücken Databasementioning

confidence: 99%

An insight to the automatic categorization of speakers according to sex and its application to the detection of voice pathologies: A comparative study

García

Moro-Velázquez

Godino-Llorente

et al. 2016

Rev. Fac. Ing. Antioquia

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An automatic categorization of the speakers according to their sex improves the performance of an automatic detector of voice pathologies. This is grounded on findings demonstrating perceptual, acoustical and anatomical differences in males' and females' voices. In particular, this paper follows two objectives: 1) to design a system which automatically discriminates the sex of a speaker when using normophonic and pathological speech, 2) to study the influence that this sex detector has on the accuracy of a further voice pathology detector. The parameterization of the automatic sex detector relies on MFCC applied to speech; and MFCC applied to glottal waveforms plus parameters modeling the vocal tract. The glottal waveforms are extracted from speech via iterative lattice inverse filters. Regarding the pathology detector, a MFCC parameterization is applied to speech signals. Classification, in both sex and pathology detectors, is carried out using state of the art techniques based on universal background models. Experiments are performed in the Saarbrücken database, employing the sustained phonation of vowel /a/. Results indicate that the sex of the speaker may be discriminated automatically using normophonic and pathological speech, obtaining accuracy up to 95%. Moreover, including the a-priori information about the sex of the speaker produces an absolute performance improvement in EER of about 2% on pathology detection tasks. RESUMEN:Una categorización automática de los hablantes de acuerdo con su sexo mejora el rendimiento de un detector automático de patologías de voz. Esto se fundamenta en hallazgos que demuestran diferencias perceptuales, acústicas y anatómicas en voces masculinas y femeninas. En particular, este trabajo persigue dos objetivos: 1) diseñar un sistema que discrimine automáticamente el sexo de hablantes utilizando habla normofónica y patológica, 2) estudiar la influencia que este detector de sexo tiene sobre el acierto de un posterior detector de patologías de voz. La parametrización del detector automático de sexo se basa en MFCC aplicados sobre señales de voz; y MFCC aplicados a formas de onda glotal junto a parámetros que modelan el tracto vocal. Las formas de onda glotal se extraen de la voz a través de un filtrado inverso iterativo en celosía. En cuanto al detector de patologías, una parametrización MFCC se aplica a señales de voz. La clasificación, tanto en los detectores de sexo como de patología, se lleva a cabo con técnicas del estado del arte basadas en modelos de base universal. Experimentos son realizados sobre la base de datos Saarbrücken empleando la fonación sostenida de la vocal /a/. Los resultados indican que el sexo del hablante puede ser discriminado automáticamente utilizando habla normofónica y

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Section: Saarbrücken Databasementioning

confidence: 99%

An insight to the automatic categorization of speakers according to sex and its application to the detection of voice pathologies: A comparative study

García

Moro-Velázquez

Godino-Llorente

et al. 2016

Rev. Fac. Ing. Antioquia

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“…Based solely on the acoustic record it is impossible to know which articulatory change (or which combination of changes) produced the difference in VOT. For this reason, very specific articulatory interpretations of acoustically-measured VOT changes resulting from DBS in patients with multiple sclerosis (MS) (Pützer, Barry, & Moringlane, 2007) do not seem justified. More broadly, at least with respect to the third criterion used to organize the current analysis, the complicated and indeterminate inferences from VOT to underlying articulatory behavior seem to suggest caution in regarding it as a good measure to evaluate the effects of DBS on speech production.…”

Section: 0 Candidate Measures For the Evaluation Of Dbs Effects On mentioning

confidence: 99%

Measures to evaluate the effects of DBS on speech production

Weismer

Yunusova

Bunton

2012

Journal of Neurolinguistics

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The purpose of this paper is to review and evaluate measures of speech production that could be used to document effects of Deep Brain Stimulation (DBS) on speech performance, especially in persons with Parkinson disease (PD). A small set of evaluative criteria for these measures is presented first, followed by consideration of several speech physiology and speech acoustic measures that have been studied frequently and reported on in the literature on normal speech production, and speech production affected by neuromotor disorders (dysarthria). Each measure is reviewed and evaluated against the evaluative criteria. Embedded within this review and evaluation is a presentation of new data relating speech motions to speech intelligibility measures in speakers with PD, amyotrophic lateral sclerosis (ALS), and control speakers (CS). These data are used to support the conclusion that at the present time the slope of second formant transitions (F2 slope), an acoustic measure, is well suited to make inferences to speech motion and to predict speech intelligibility. The use of other measures should not be ruled out, however, and we encourage further development of evaluative criteria for speech measures designed to probe the effects of DBS or any treatment with potential effects on speech production and communication skills.

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“…Therefore, we investigate French native speakers learning German and German native speakers learning French and compare their L1 and L2 productions. We chose a parametrization of phonatory behavior and phonatory quality properties in the acoustic signal based on the procedure developed by Wokurek and Pützer [24][25][26][27]. The following four research questions concerning phonatory behavior of German speakers (GS) and French speakers (FS) in native and non-native speech will be answered by the present study:…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Phonatory Behavior of German and French Speakers in Native and Non-Native Speech

Pützer

Zimmerer

Wokurek³

et al. 2016

Interspeech 2016

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Phonatory behavior of German speakers (GS) and French speakers (FS) in native (L1) and non-native (L2) speech was instrumentally examined. Vowel productions of the two groups were analyzed using a parametrization of phonatory behavior and phonatory quality properties in the acoustic signal. The behavior of GS is characterized by more strained adduction of the vocal folds whereas FS show more incomplete glottal closure. Furthermore, GS change their phonatory behavior in the foreign language (=French) by adapting phonatory strategies of FS, whereas FS do not show this tendency. In addition, German beginners (BEG) and partly German advanced learners (ADV) are already orientated on production characteristics of the L2. French BEG however retain their phonatory behavior in L2 (=German) by showing less vocal fold adduction in comparison to their L1. French ADV show the opposite behavior. Finally, ADV of the two speaker groups generally show more strained behavior in L2 productions than BEG. The results provide evidence that GS and FS apply different laryngeal phonatory settings and that they altered their settings in L2 differently. Perceptual evaluation of voice quality of the speech material and a correlation analysis between acoustic and perceptual results are suggested for future research.

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Effect of Deep Brain Stimulation on Different Speech Subsystems in Patients with Multiple Sclerosis

Cited by 23 publications

References 24 publications

An insight to the automatic categorization of speakers according to sex and its application to the detection of voice pathologies: A comparative study

An insight to the automatic categorization of speakers according to sex and its application to the detection of voice pathologies: A comparative study

Measures to evaluate the effects of DBS on speech production

Evaluation of Phonatory Behavior of German and French Speakers in Native and Non-Native Speech

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