Validation of the Dysphonia Severity Index in the Dr. Speech Program

Kim, Ha-Kyung; Gao, ShaoHua; Yi, Bin; Shi, Runjie; Wan, Qin; Huang, Zhaoming

doi:10.1016/j.jvoice.2019.08.011

Cited by 9 publications

(10 citation statements)

References 14 publications

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“…The growing interest in the clinical quantification of voice quality led researchers to create simple numerical indices using techniques of acoustic and auditory-perceptual analyses. There are voice analysis indices described in the literature (14)(15)(16)18) , based on sustained vowel and connected speech.…”

Section: Discussionmentioning

confidence: 99%

“…CSID (15) dysphonia severity screening of 322 subjects, through the use of cepstral measurements, presented a sensitivity of 75% and specificity of 73%, with a probability of success of 85%. The Dysphonia Severity Index (DSI) (14) presented sensitivity and specificity values of 72% and 75% respectively, for the determination of the general degree of dysphonia.…”

Section: Discussionmentioning

confidence: 99%

“…Composite indicators or numerical indices are tools that enable the synthesis of variables related to a particular event (13) . In light of the voice's multidimensional characteristics, the main variables used in the characterization of these indices are auditory-perceptual analysis (sustained vowel phonation, connected speech, and phonetically balanced text), and acoustics, aerodynamics, and respiratory analyses (14)(15)(16)(17) .…”

Section: Introductionmentioning

confidence: 99%

“…Numerical indices are instruments that can be applied in the voice clinic, during the evaluation and therapeutic processes, and used to monitor the evolution of the dysphonia, as a complementary method to vocal intervention. Among the most used indices are the Dysphonia Severity Index (DSI) (14) , the Cepstral Spectral Index of Dysphonia (CSID) (15) , the Acoustic Voice Quality Index (AVQI) (16) , and the Acoustic Breathiness Index (ABI) (17) , which take into consideration acoustic, cepstral, and aerodynamic analyses to determine dysphonia.…”

Section: Introductionmentioning

confidence: 99%

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Videokymographic index of glottic function: an analysis of diagnostic accuracy

Deus

Quinino

Santos

et al. 2023

CoDAS

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Purpose To develop the Videokymographic Index of Glottic Function (VIGF), a composite indicator from digital videokymography parameters, captured by high-speed videolaryngoscopy exams of women with and without laryngeal alterations of behavioral etiology. Methods The sample consisted of 92 women aged between 18 and 45 years. Fifty-five (55) women with behavioral dysphonia, presenting with laryngeal and voice alterations, and thirty-seven (37) women without any laryngeal and voice alterations. Voice evaluation was performed by consensus via an auditory-perceptual analysis of the sustained vowel /a/ at a habitual pitch and loudness. Voice classification was obtained by means of a general degree of dysphonia, where G0 indicated neutral voice quality and G1 to G3 indicated altered voice quality. Laryngeal images were captured via digital videokymography analysis of a sustained vowel /i/ at a habitual pitch and loudness. The VIGF was based on the midpoint of the glottal region for analysis. Logistic regression was performed using the MINITAB 19 program. Results Logistic regression was composed of two stages: Stage 1 consisted of the analysis of all variables, where the maximum opening and closed quotient variables showed statistical significance (p-value <0.05) and the model was well adjusted according to the Hosmer-Lemeshow test (p-value=0.794). Stage 2 consisted of the re-analysis of the selected variables, also showing a well-adjusted model (p-value=0.198). The VIGF was defined as follows: VIGF=e^(8.1318-0.2941AbMax-0.0703FechGlo)/1+e^(8.1318-0.2941AbMax-0.0703FechGlo). Conclusion The VIGF demonstrated a cut-off value equal to 0.71. The probability of success was 81.5%, sensitivity 76.4%, and specificity 89.2%.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Videokymographic index of glottic function: an analysis of diagnostic accuracy

Deus

Quinino

Santos

et al. 2023

CoDAS

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“…Однако предлагаемые границы голосовой дисфункции (DSI от -5 до +5), по мнению ряда исследователей и фониаторов, не имеют диагностического значения [12,13]. Возможно, причина заключается в том, что методика расчета DSI рассматривает изменение только одной гармоники -частоты основного тона.…”

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Development of a hardware and software complex for speech analysis and correction

Borovikova¹,

Гришин²,

Nenko³

et al. 2021

Analysis and data processing systems

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In recent years, there has been a dramatic increase in the number of people suffering from functional disorders of voice, usually caused by a psychoemotional stress. Such disorders bring significant discomfort to a person's life as they reduce their communication and social adaptation capacitty, which in turn increases the psychoemotional load. As a result, functional disorders are fixed by the vicious circle mechanism o and can be transformed into the pathology of the speech apparatus. The main method of diagnosis remains expert assessment, which directly depends on the professional skills of a specialist in working with voice. In this connection, the issue of developing such systems for diagnosing voice-speech disorders that would allow for an objective assessment based on the processing of voice-speech characteristics, as well as to identify the violation in time and prevent the development of pathology, is relevant. Such methods and systems can be useful both for diagnostics and for monitoring the effectiveness of voice therapy. The existing methods of hardware diagnostics have not yet found their application in practice due to their inconsistency with the results of expert evaluation. In this paper, we propose a new concept of hardware and software complex for the analysis of voice based on acoustic characteristics of a set of harmonics of the voice signal. A VASA (Voice and Speech Analyzing system) complex has been developed that provides an automatic analysis of the amplitudes of the first 16 harmonics. The tests performed on three volunteers showed a high level of reproducibility and repeatability (within 10 % < %R&R < 30 %), sufficient for conducting comparative studies on healthy people and people with functional speech disorders.

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