Acoustic Voice Quality Index (AVQI) in the Measurement of Voice Quality: A Systematic Review and Meta-Analysis

Jayakumar, T.; Benoy, Jesnu Jose

doi:10.1016/j.jvoice.2022.03.018

Cited by 22 publications

(29 citation statements)

References 90 publications

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“…Within the limitations of our analysis, a predominance of keywords related to pathology and its treatment can be observed as well as a deficit in terms of diagnosis-related keywords. Nevertheless, prior to the studied period addressed in this study, a series of publications on voice diagnosis were developed, mainly related to acoustic characteristics [ 26 , 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

What Are the Contemporary Trends on Euphonic Voice Research? A Scientometric Analysis

et al. 2022

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(1) Background: The study of the human euphonic voice is a subject that has been researched in recent years from different perspectives. Therefore, it is pertinent to assess the current state of the science. The aim of analyzing the characteristics of normal voice-related publications over the last 11 years is to identify research trends, the numerical and temporal evolution of the publications, their type, and the most-used descriptors. (2) Methods: Bibliometric data from 2011 to 2021 were obtained through several databases. Subsequently, a science mapping analysis was made via VOSviewer software. (3) Results: A total of 901 publications were obtained. The analysis of the scientific production on the field of study regarding the euphonic voice shows a slight increase over the last 11 years, with an average of 82 publications per year. Co-authorship analysis revealed a 6215 authors contributing to the field with a 901 articles (headed by Jiang, J.J. with 18 articles). Keyword co-occurrence analysis highlighted the lack of temporal advancement and variety in the terminology used in the field of voice research. (4) Conclusions: This scientometric study sheds light to the need to broaden in this field of study and the establishment of solid research groups to contribute to its advancement.

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Section: Discussionmentioning

confidence: 99%

What Are the Contemporary Trends on Euphonic Voice Research? A Scientometric Analysis

et al. 2022

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“…All recordings were obtained in the same manner as in a previous study, 10 that is, in a sound‐treated room with a head‐worn microphone SE50 (Samson Technologies Corp., Hauppauge, NY) digitized at a sampling rate of 44.1 kHz and resolution of 16 bits using a linear PCM recorder H4n (Zoom Corp., Tokyo, Japan). Patients sustained a vowel /a:/ for >3 s and read a text at a comfortable pitch, loudness, and speed.…”

Section: Methodsmentioning

confidence: 99%

“…For decades, enormous progress in computer technology has enabled us to easily use multivariate acoustic models for dysphonia such as the acoustic voice quality index (AVQI) [1][2][3][4][5] or cepstral spectral index of dysphonia (CSID). [6][7][8] In particular, the AVQI objectively assesses dysphonia levels using six acoustic measures and has been validated in many languages, 9,10 revealing excellent criterion-related concurrent validity and diagnostic accuracy as well as test-retest reliability. 11,12 The value of the AVQI ranges from 0 to 10, and normophonic voices have an AVQI of 0-2 and dysphonic voices of 2-10, particularly in Japanese.…”

Section: Introductionmentioning

confidence: 99%

The Minimal Important Difference of Acoustic Voice Quality Index in the Treatment of Voice Disorders

Hosokawa,

Iwahashi,

Iwahashi

et al. 2023

The Laryngoscope

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ObjectivesThe acoustic voice quality index (AVQI) is a reliable tool that objectively assesses dysphonia levels using six acoustic parameters. Despite its high criterion‐related concurrent validity, diagnostic accuracy, and minimal detectable change derived from test–retest reliability, the minimal important difference (MID) of the AVQI has not been tested before. This study aimed to estimate the MIDs of AVQI for improvement audibly perceived by clinicians and self‐reported improvement by patients.MethodsA retrospective study was conducted on 110 patients who received treatment for voice disorders. Patients completed AVQI and Voice Handicap Index‐10 (VHI‐10) questionnaires before and after the therapy. The MIDs of the AVQI were estimated using the anchor of either auditory–perceptual judgment of total dysphonia levels by clinicians or the VHI‐10 questionnaire by patients. A distribution‐based approach was also used to complement the results.ResultsFirst, using the auditory–perceptual anchor, a decrease of 0.95 in the AVQI was estimated as the MID for clinicians' perception, as a result of the receiver operating curve. Then, using the patient‐reported anchor, an improvement of 1.36 in the AVQI was estimated as the MID for patients' voice‐related disability. The distribution‐based approach also ensured the anchor‐based results of both the MIDs.ConclusionsThe AVQI is a reliable and valid tool for evaluating voice quality, and a 0.95 decrease in the AVQI represents a meaningful improvement for clinicians' perception, whereas a 1.36 decrease in the AVQI influences patients' self‐reported disability. This study contributes to understanding the minimal change necessary for clinicians to make informed decisions and ensure patient satisfaction.Level of Evidence3 Laryngoscope, 2023

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“…A series of voice analysis tools includes many components to evaluate speech functions and voice quality [1,2]. The quantitative evaluation of voice quality using acoustics is advocated [3], and two metrics in this sector are the Acoustic Voice Quality Index (AVQI) and the Acoustic Breathiness Index (ABI) [4].…”

Section: Introductionmentioning

confidence: 99%

Pareto-Optimized AVQI Assessment of Dysphonia: A Clinical Trial Using Various Smartphones

et al. 2023

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Multiparametric indices offer a more comprehensive approach to voice quality assessment by taking into account multiple acoustic parameters. Artificial intelligence technology can be utilized in healthcare to evaluate data and optimize decision-making processes. Mobile devices provide new opportunities for remote speech monitoring, allowing the use of basic mobile devices as screening tools for the early identification and treatment of voice disorders. However, it is necessary to demonstrate equivalence between mobile device signals and gold standard microphone preamplifiers. Despite the increased use and availability of technology, there is still a lack of understanding of the impact of physiological, speech/language, and cultural factors on voice assessment. Challenges to research include accounting for organic speech-related covariables, such as differences in conversing voice sound pressure level (SPL) and fundamental frequency (f0), recognizing the link between sensory and experimental acoustic outcomes, and obtaining a large dataset to understand regular variation between and within voice-disordered individuals. Our study investigated the use of cellphones to estimate the Acoustic Voice Quality Index (AVQI) in a typical clinical setting using a Pareto-optimized approach in the signal processing path. We found that there was a strong correlation between AVQI results obtained from different smartphones and a studio microphone, with no significant differences in mean AVQI scores between different smartphones. The diagnostic accuracy of different smartphones was comparable to that of a professional microphone, with optimal AVQI cut-off values that can effectively distinguish between normal and pathological voice for each smartphone used in the study. All devices met the proposed 0.8 AUC threshold and demonstrated an acceptable Youden index value.

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Acoustic Voice Quality Index (AVQI) in the Measurement of Voice Quality: A Systematic Review and Meta-Analysis

Cited by 22 publications

References 90 publications

What Are the Contemporary Trends on Euphonic Voice Research? A Scientometric Analysis

What Are the Contemporary Trends on Euphonic Voice Research? A Scientometric Analysis

The Minimal Important Difference of Acoustic Voice Quality Index in the Treatment of Voice Disorders

Pareto-Optimized AVQI Assessment of Dysphonia: A Clinical Trial Using Various Smartphones

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