Evaluation of disfluent speech by means of automatic acoustic measurements

Lustyk, Tomas; Bergl, Petr; Čmejla, Roman

doi:10.1121/1.4863646

Cited by 8 publications

(8 citation statements)

References 42 publications

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“…A primary feature of stuttering is involuntary pauses known as blocks, and such pauses have been found to be important in assessing fluency of speech [11, 34]. Like the differences in the pause lengths in the Gnptab mut/mut mice and Gnptab wt/wt mouse vocalizations, the speech of PWS had significantly longer pauses between vocalizations compared to that of control subjects (PWS 0.385 ± 0.021 sec; CT, 0.170 ± 0.005 sec; t -test, p < 10 -12 , Figure 6D).…”

Section: Resultsmentioning

confidence: 99%

“…Stuttered speech has been extensively analyzed using a variety of measures including words per minute, voice onset time, formant frequencies of consecutive glottal periods, and other language-based acoustic techniques [31, 33, 34, 40]. Previous studies have demonstrated that stuttering is strongly correlated with fewer vocalizations per unit time and an increase in pause length [39, 40].…”

Section: Discussionmentioning

confidence: 99%

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A Mutation Associated with Stuttering Alters Mouse Pup Ultrasonic Vocalizations

Barnes

Wozniak²,

Gutierrez

et al. 2016

Current Biology

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Summary A promising approach to understanding the mechanistic basis of speech is to study disorders that affect speech without compromising other cognitive or motor functions. Stuttering, also known as stammering, has been linked to mutations in the lysosomal enzyme-targeting pathway, but how this remarkably specific speech deficit arises from mutations in a family of general “cellular housekeeping” genes is unknown. To address this question, we asked whether a missense mutation associated with human stuttering causes vocal or other abnormalities in mice. We compared vocalizations from mice engineered to carry a mutation in the Gnptab (N-acetylglucosamine-1-phosphotransferase subunits alpha/beta) gene with wild type littermates. We found significant differences in the vocalizations of pups with the Gnptab stuttering mutation compared to littermate controls. Specifically, we found that mice with the mutation emitted fewer vocalizations per unit time, had longer pauses between vocalizations, and that the entropy of the temporal sequence was significantly reduced. Furthermore, Gnptab missense mice were similar to wild type mice on an extensive battery of non-vocal behaviors. We then used the same language-agnostic metrics for auditory signal analysis of human speech. We analyzed speech from people who stutter with mutations in this pathway and compared it to control speech, and found abnormalities similar to those found in the mouse vocalizations. These data show that mutations in the lysosomal enzyme targeting pathway produce highly specific effects in mouse pup vocalizations, and establish the mouse as an attractive model for studying this disorder.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Mutation Associated with Stuttering Alters Mouse Pup Ultrasonic Vocalizations

Barnes

Wozniak²,

Gutierrez

et al. 2016

Current Biology

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“…This requires considerable time and labor, making such tools impractical for busy clinicians. Many authors have put substantial research effort in to automate the analysis for clinical assessment of disordered speech (Berisha et al, 2013;Bocklet et al, 2012;He et al, 2013;Lustyk et al, 2014;Maier et al, 2009;Middag et al, 2009;Zhou et al, 2012). Landmark (LM) analysis is a novel approach that characterizes speech with acoustic markers that are developed based on the LM theory of speech perception.…”

Section: Introductionmentioning

confidence: 99%

Toward clinical application of landmark-based speech analysis: Landmark expression in normal adult speech

Ishikawa

MacAuslan

Boyce

2017

The Journal of the Acoustical Society of America

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The goal of clinical speech analysis is to describe abnormalities in speech production that affect a speaker's intelligibility. Landmark analysis identifies abrupt changes in a speech signal and classifies them according to their acoustic profiles. These acoustic markers, called landmarks, may help describe intelligibility deficits in disordered speech. As a first step toward clinical application of landmark analysis, the present study describes expression of landmarks in normal speech. Results of the study revealed that syllabic, glottal, and burst landmarks consist of 94% of all landmarks, and suggest the effect of gender needs to be considered for the analysis.

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“…A more detailed description of the measures is given in [20] where experiments on read stuttering recording of Czech speakers are carried out.…”

Section: Algorithmsmentioning

confidence: 99%

Language-independent method for analysis of German stuttering recordings

et al. 2015

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The paper describes experiments where automatic acoustic algorithms initially intended to be used on Czech stuttering speakers were applied on recordings of German stuttering speakers. Four algorithms based on voice activity and abrupt spectral changes detection are introduced. The database consists of 34 speakers. The measure, the number of abrupt spectral changes in speech segments, reached a correlation with fluency rating of 0.85. The other measures have also good agreement with subjective evaluation. Results indicate that it could be basically possible to do language-independent analysis of stuttering, here demonstrated on read recordings of German speakers.

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Evaluation of disfluent speech by means of automatic acoustic measurements

Cited by 8 publications

References 42 publications

A Mutation Associated with Stuttering Alters Mouse Pup Ultrasonic Vocalizations

A Mutation Associated with Stuttering Alters Mouse Pup Ultrasonic Vocalizations

Toward clinical application of landmark-based speech analysis: Landmark expression in normal adult speech

Language-independent method for analysis of German stuttering recordings

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