Analysis of Voice Changes in Early-Stage Parkinson's Disease with AVQI and ABI: A Follow-up Study.

OBJECTIVES: The purpose of this pilot study was to examine voice quality changes in individuals with early-stage Parkinson's disease (PD) utilizing the Acoustic Voice Quality Index (AVQI) and Acoustic Breathiness Index (ABI) over approximately a 1-year period. STUDY DESIGN: Follow-up study. METHODS: Baseline and follow-up data were gathered from the PDSTUlong speech corpus. The data for both time points included: speaker background information, sustained vowels, reading samples, and measures of PD severity (Hoehn and Yahr scores and Unified Parkinson's Disease Rating Scale III scores [UPDRS-III]). All speakers (N = 12) were native Finnish speakers. AVQIv03.01 and ABI analysis were completed in VOXplot v2.0.1. Changes in AVQI and ABI scores between baseline and follow-up were examined via causal analysis. Further, AVQI and ABI were analyzed in relation to measures of PD severity. RESULTS: Baseline mean AVQI score was 1.79 (range 0.14-4.83, SD=1.60), whereas follow-up mean AVQI score was 2.25 (range 0.55-4.53, SD=1.36). Baseline mean ABI score, in turn, was 2.92 (range 1-27 - 5.31, SD=1.57), whereas follow-up mean ABI score was 3.42 (range 1.40-5.40, SD=1.38). A significant difference was found between baseline and follow-up measures for both AVQI (Z = -2.002, P = 0.045) and ABI (Z = -2.197, P = 0.028). A significant difference in smoothed cepstral peak prominence (Z = -2.118, P = 0.034) and harmonics-to-noise ratio (Z = -1.961, P = 0.050) was also found between the two measurement periods. Change in AVQI and ABI were not correlated with the change in measures of PD severity. CONCLUSION: Over approximately 1-year, a statistical change was observed in AVQI and ABI scores, even in such a small dataset. The specific qualities of breathiness and hoarseness showed the most significant progression. Changes in voice quality were more prominent in ABI analysis.

The feasibility of using acoustic measures for predicting the Total Opacity Scores of chest computed tomography scans in patients with COVID-19.

To study the possibility of using acoustic parameters, i.e., Acoustic Voice Quality Index (AVQI) and Maximum Phonation Time (MPT) for predicting the degree of lung involvement in COVID-19 patients. This cross-sectional case-control study was conducted on the voice samples collected from 163 healthy individuals and 181 patients with COVID-19. Each participant produced a sustained vowel/a/, and a phonetically balanced Persian text containing 36 syllables. AVQI and MPT were measured using Praat scripts. Each patient underwent a non-enhanced chest computed tomographic scan and the Total Opacity score was rated to assess the degree of lung involvement. The results revealed significant differences between patients with COVID-19 and healthy individuals in terms of AVQI and MPT. A significant difference was also observed between male and female participants in AVQI and MPT. The results from the receiver operating characteristic curve analysis and area under the curve indicated that MPT (0.909) had higher diagnostic accuracy than AVQI (0.771). A significant relationship was observed between AVQI and TO scores. In the case of MPT, however, no such relationship was observed. The findings indicated that MPT was a better classifier in differentiating patients from healthy individuals, in comparison with AVQI. The results also showed that AVQI can be used as a predictor of the degree of patients' and recovered individuals' lung involvement. A formula is suggested for calculating the degree of lung involvement using AVQI.

Clinical Utility and Validation of the Acoustic Voice Quality and Acoustic Breathiness Indexes for Voice Disorder Assessment in English Speakers.

BACKGROUND: While several acoustic voice metrics are available for clinical voice assessment, there remains a significant need for reliable and ecologically valid tools. The Acoustic Voice Quality Index version 03.01 (AVQI-3) and Acoustic Breathiness Index (ABI) hold potential due to their comprehensive assessment approach, incorporating diverse voice aspects. However, these tools still need to be validated in English-speaking populations. METHODS: This study assessed the discriminatory accuracy and validity of AVQI-3 and ABI in 197 participants, including 148 with voice disorders. Voice samples were collected, followed by AVQI-3 and ABI calculations. Additionally, auditory-perceptual assessments were conducted by a panel of speech-language pathologists. RESULTS: AVQI-3 and ABI effectively identified disordered voice quality, evidenced by high accuracy (AUCs: 0.84, 0.89), sensitivity, and specificity (thresholds: AVQI-3 = 1.17, ABI = 2.35). Strong positive correlations were observed with subjective voice quality assessments (rs = 0.72, rs = 0.77, p < 0.001). CONCLUSIONS: The study highlights AVQI-3 and ABI as promising instruments for clinically assessing voice disorders in U.S. English speakers, underscoring their utility in clinical practice and voice research.

Smartphone-Based Voice Wellness Index Application for Dysphonia Screening and Assessment: Development and Reliability.

OBJECTIVE: This study aimed to develop a Voice Wellness Index (VWI) application combining the acoustic voice quality index (AVQI) and glottal function index (GFI) data and to evaluate its reliability in quantitative voice assessment and normal versus pathological voice differentiation. STUDY DESIGN: Cross-sectional study. METHODS: A total of 135 adult participants (86 patients with voice disorders and 49 patients with normal voices) were included in this study. Five iOS and Android smartphones with the "Voice Wellness Index" app installed were used to estimate VWI. The VWI data obtained using smartphones were compared with VWI measurements computed from voice recordings collected from a reference studio microphone. The diagnostic efficacy of VWI in differentiating between normal and disordered voices was assessed using receiver operating characteristics (ROC). RESULTS: With a Cronbach's alpha of 0.972 and an ICC of 0.972 (0.964-0.979), the VWI scores of the individual smartphones demonstrated remarkable inter-smartphone agreement and reliability. The VWI data obtained from different smartphones and a studio microphone showed nearly perfect direct linear correlations (r = 0.993-0.998). Depending on the individual smartphone device used, the cutoff scores of VWI related to differentiating between normal and pathological voice groups were calculated as 5.6-6.0 with the best balance between sensitivity (94.10-95.15%) and specificity (93.68-95.72%), The diagnostic accuracy was excellent in all cases, with an area under the curve (AUC) of 0.970-0.974. CONCLUSION: The "Voice Wellness Index" application is an accurate and reliable tool for voice quality measurement and normal versus pathological voice screening and has considerable potential to be used by healthcare professionals and patients for voice assessment.

Reliability of Universal-Platform-Based Voice Screen Application in AVQI Measurements Captured with Different Smartphones.

The aim of the study was to develop a universal-platform-based (UPB) application suitable for different smartphones for estimation of the Acoustic Voice Quality Index (AVQI) and evaluate its reliability in AVQI measurements and normal and pathological voice differentiation. Our study group consisted of 135 adult individuals, including 49 with normal voices and 86 patients with pathological voices. The developed UPB "Voice Screen" application installed on five iOS and Android smartphones was used for AVQI estimation. The AVQI measures calculated from voice recordings obtained from a reference studio microphone were compared with AVQI results obtained using smartphones. The diagnostic accuracy of differentiating normal and pathological voices was evaluated by applying receiver-operating characteristics. One-way ANOVA analysis did not detect statistically significant differences between mean AVQI scores revealed using a studio microphone and different smartphones (F = 0.759; p = 0.58). Almost perfect direct linear correlations (r = 0.991-0.987) were observed between the AVQI results obtained with a studio microphone and different smartphones. An acceptable level of precision of the AVQI in discriminating between normal and pathological voices was yielded, with areas under the curve (AUC) displaying 0.834-0.862. There were no statistically significant differences between the AUCs (p > 0.05) obtained from studio and smartphones' microphones. The significant difference revealed between the AUCs was only 0.028. The UPB "Voice Screen" application represented an accurate and robust tool for voice quality measurements and normal vs. pathological voice screening purposes, demonstrating the potential to be used by patients and clinicians for voice assessment, employing both iOS and Android smartphones.

Vocal Fatigue Index in Finnish-Speaking Population.

BACKGROUND AND OBJECTIVE: Vocal fatigue is an important complaint that may indicate a voice disorder or a risk thereof. There is a need for a reliable tool to detect and quantify vocal fatigue and distinguish dysphonic and vocally healthy speakers. The Vocal Fatigue Index (VFI) questionnaire has been found valid and reliable among speakers of different languages. This study aims to validate it for speakers of Finnish. STUDY DESIGN: Experimental comparative study. METHODS: The VFI questionnaire was translated from English to Finnish according to the WHO recommendations. Next, it was subjected to the validation procedure. In total, 160 Finnish speakers volunteered to participate in the study. Hundred-and-eight were voice patients (83 males, 25 females) and 52 were vocally healthy controls (37 females, 15 males). As a comparison, the Voice Handicap Index (VHI) questionnaire was completed and voice samples were recorded to enable Acoustic Voice Quality Index (AVQI03.01FIN) analysis. RESULTS: Results from the first and second completions of the VFI(F) questionnaire correlated strongly (Spearman's rho 0.901, P = 0.01). Answers to the individual questions the VFI(F) also correlated strongly, showing high internal consistency. Factor 1 (Tiredness of voice and avoidance of voice use) of the VFI correlated strongly with the VHI, and the two other factors (Physical discomfort associated with voicing and Improvement of symptoms) correlated moderately with the VHI. Factor one of the VFI(F) correlated moderately with AVQI03.01FIN and its sub-parameters, CPPS, HNR, and shimmer. The VFI(F) showed good construct validity, differentiating voice patients and controls at cut-off 13.5, with sensitivity of 0.963 and specificity of 0.885. Discriminatory power was strong for all factors: F1 AROC = 0.985, F2 AROC = 0.864, and F3 AROC = 0.821. CONCLUSION: The VFI(F) correlates with the VHI and with AVQI01.01FIN and it is a valid and reliable tool for detecting vocal fatigue in Finnish speakers.

An iOS-based VoiceScreen application: feasibility for use in clinical settings-a pilot study.

OBJECTIVES: To elaborate the application suitable for smartphones for estimation of Acoustic Voice Quality Index (AVQI) and evaluate its usability in the clinical setting. METHODS: An elaborated AVQI automatization and background noise monitoring functions were implemented into a mobile "VoiceScreen" application running the iOS operating system. A study group consisted of 103 adult individuals with normal voices (n = 30) and 73 patients with pathological voices. Voice recordings were performed in the clinical setting with "VoiceScreen" app using iPhone 8 microphones. Voices of 30 patients were recorded before and 1 month after phonosurgical intervention. To evaluate the diagnostic accuracy differentiating normal and pathological voice, the receiver-operating characteristic statistics, i.e., area under the curve (AUC), sensitivity and specificity, and correct classification rate (CCR) were used. RESULTS: A high level of precision of AVQI in discriminating between normal and dysphonic voices was yielded with corresponding AUC = 0.937. The AVQI cutoff score of 3.4 demonstrated a sensitivity of 86.3% and specificity of 95.6% with a CCR of 89.2%. The preoperative mean value of the AVQI [6.01(SD 2.39)] in the post-phonosurgical follow-up group decreased to 2.00 (SD 1.08). No statistically significant differences (p = 0.216) between AVQI measurements in a normal voice and 1-month follow-up after phonosurgery groups were revealed. CONCLUSIONS: The "VoiceScreen" app represents an accurate and robust tool for voice quality measurement and demonstrates the potential to be used in clinical settings as a sensitive measure of voice changes across phonosurgical treatment outcomes.

Accuracy of Acoustic Voice Quality Index Captured With a Smartphone - Measurements With Added Ambient Noise.

OBJECTIVE: To evaluate the accuracy of Acoustic Voice Quality Index (AVQI) measures obtained from voice recordings simultaneously using oral and smartphone microphones in a sound-proof room, and to compare them with AVQIs obtained from the same smartphone voice recordings with added ambient noise. METHODS: A study group of 183 subjects with normal voices (n = 86) and various voice disorders (n = 97) was asked to read aloud a standard text and sustain the vowel /a/. The controlled ambient noise averaged at 29.61 dB SPL was added digitally to the smartphone voice recordings. Repeated measures analysis of variances (ANOVA) with Greenhouse-Geiser correction was used to evaluate AVQI changes within subjects. To evaluate the level of agreement between AVQI measurements obtained from different voice recordings Bland-Altman plots were used. RESULTS: Repeated measures ANOVA showed that differences among AVQI results obtained from voice recordings done with oral studio microphone, recordings done with a smartphone microphone, and recordings done with a smartphone microphone with added ambient noise were not statistically significant (P = 0.07). No significant systemic differences and acceptable level of random errors in AVQI measurements of voice recordings made with oral and smartphone microphones (including added noise) were revealed. CONCLUSION: The AVQI measures obtained from smartphone microphones voice recordings with experimentally added ambient noise revealed an acceptable agreement with results of oral microphone recordings, thus suggesting the suitability of smartphone microphone recordings performed even in the presence of acceptable ambient noise for estimation of AVQI.

Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.

The study aimed to investigate and compare the accuracy and robustness of the multiparametric acoustic voice indices (MAVIs), namely the Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI), Acoustic Breathiness Index (ABI), and Voice Wellness Index (VWI) measures in differentiating normal and dysphonic voices. The study group consisted of 129 adult individuals including 49 with normal voices and 80 patients with pathological voices. The diagnostic accuracy of the investigated MAVI in differentiating between normal and pathological voices was assessed using receiver operating characteristics (ROC). Moderate to strong positive linear correlations were observed between different MAVIs. The ROC statistical analysis revealed that all used measurements manifested in a high level of accuracy (area under the curve (AUC) of 0.80 and greater) and an acceptable level of sensitivity and specificity in discriminating between normal and pathological voices. However, with AUC 0.99, the VWI demonstrated the highest diagnostic accuracy. The highest Youden index equaled 0.93, revealing that a VWI cut-off of 4.45 corresponds with highly acceptable sensitivity (97.50%) and specificity (95.92%). In conclusion, the VWI was found to be beneficial in describing differences in voice quality status and discriminating between normal and dysphonic voices based on clinical diagnosis, i.e., dysphonia type, implying the VWI's reliable voice screening potential.

Effect of Voice Projection Training on Acoustic and Auditory-Perceptual Characteristics of Voice in Tamil-Speaking Imams.

BACKGROUND: Imams are professional voice users at risk of developing voice problems. Speech-Language Pathologists need to provide intervention programs to target risk factors associated with voice disorders and improve the voice quality of Imams. However, studies examining the effect of vocal training for Imams are limited in the literature. OBJECTIVES: This study attempted to document the acoustic and auditory-perceptual changes in the voices of Tamil-speaking Imams with a voice projection training program. METHODS: Eleven Tamil-speaking Imams participated in a voice projection training program. Voice samples were recorded at four specific time points before, during, and after the voice projection training. These recordings were subjected to various acoustic analyses (AVQI, Dr Speech, and MDVP) and auditory-perceptual analysis (CAPE-V) to determine the changes with the voice projection training. RESULTS: Auditory-Perceptual analysis carried out by five experienced SLPs suggested significant changes in the voice quality of the participants with voice projection training. High inter-rater reliability was observed across the judges as well. We observed positive changes in several acoustic measures indicated within AVQI, Dr Speech, and MDVP software. These primarily included changes in fundamental frequency, noise related measures (HNR, SNR), and perturbation measures. CONCLUSION: Voice projection training positively impacts the acoustic and auditory-perceptual characteristics of the voices of Tamil-speaking Imams.

The acoustic voice quality index, version 2.06 and 3.01, for the Persian-speaking population.

INTRODUCTION: Dysphonia assessment includes approaches like acoustic analysis, which is non-invasive and easy to use and provides an understandable numerical output. The Acoustic Voice Quality Index (AVQI) is an acoustic model that can detect dysphonia. The Persian language is spoken by around 70,000,000 native speakers. Since AVQI versions 2.06 and 3.01 have not been validated for the Persian yet, this study investigated their concurrent validity and diagnostic accuracy among the Persian-speaking population. METHODS: This scale development study was conducted from 2020 to 2021 on 180 normophonic and dysphonic native Persian-speaking residents of Mashhad, Iran. Five raters rated the samples by auditory-perceptual-judgments, including Grade from the Grade-Rough-Breathy-Asthenic-Strained (an ordinal scale) and the overall dysphonia severity from the Persian version Consensus Auditory Perceptual Evaluation of Voice (a continuous scale) to investigate both versions' concurrent validity. The intra- and inter-rater reliability and concurrent validity were evaluated for both scales. Both versions' diagnostic accuracy was assessed by the receiver operating characteristic, and the optimal thresholds were determined. RESULTS: AVQI-version-2-Persian thresholds of 3.47 and 4.04 provided sensitivity of 88.30% and 85.53% and specificity of 79.07% and 85.58% by the ordinal and continuous scales, respectively. AVQI-version-3-Persian thresholds of 3.07 and 3.03 also rendered sensitivity of 74.47% and 85.53%, and specificity of 97.67% and 91.35% by the ordinal and continuous scales sequentially. CONCLUSION: The significant values of concurrent validities and diagnostic accuracies of both versions of AVQI-Persian confirmed that it can discriminate between normal and pathological voices among the Persian-speaking population. Hence, it can be used for screening or diagnosis purposes.

A Comprehensive Application for Grading Severity of Voice Based on Acoustic Voice Quality Index v.02.03.

Acoustic Voice Quality Index is a six-variable acoustic model for the multiparametric measurement developed by Maryn et al. Studies have provided evidence regarding the practical usefullness, internal consistency, external validity, diagnostic accuracy, and responsiveness to change of AVQI. Recently, researchers have been exploring the utility of AVQI in classifying the voice severity. The aim of the present study was to determine the diagnostic accuracy of the AVQI v.02.03 in discriminating across the perceptual levels of dysphonia severity in 18-40 years age range in Kannada speaking population; and to develop an application to depict the AVQI based severity of dysphonia. For the study, 163 individuals in normophonic and 134 individuals in dysphonic group were considered in the age range of 18-40 years. All participants were native speakers of Kannada language. The sustained vowel /a/ and reading of standard Kannada passage were considered as stimuli for extracting AVQI analysed using AVQI script version 02.03. The AVQI cut-off values obtained were 2.50 (AROC=0.894; Sensitivity= 84.7%; Specificity= 83.1%), 4.17 (AROC=0.953; Sensitivity= 84.4%; Specificity= 88.5%) and 6.23 (AROC=1.000; Sensitivity= 100%; Specificity= 100%) for normal vs. mild, mild vs. moderate and moderate vs. severe respectively. A user friendly application was developed which provides a simplified output for AVQI cut-off values which can be comprehendible by patients with voice disorder/ non-professionals and health professionals.

The Degree of Change and Relationship in Self-perceived Handicap and Acoustic Voice Quality Associated With Voice Therapy.

INTRODUCTION: Outcome measures describing acoustic voice quality and self-perceived vocal handicap are commonly used in clinical voice practice. Previous reports of the relationship between acoustic and self-perceived measures have found only limited associations, but it is unclear if acoustic measures associated with voice quality and self-perceived voice handicap change in a similar manner over the course of voice treatment. The current study, therefore, considered the relationship between the degree of change in Acoustic Voice Quality Index (AVQI) and Voice Handicap Index (VHI-30 and VHI-10) in dysphonic patients receiving treatment in a private practice voice clinic. METHODS: Data were collected retrospectively from patient records of a private practice voice clinic over 80 consecutive months. For each patient, their voice disorder diagnosis, age, and biological sex were collected as well as pre-and post-treatment measures of the AVQI and VHI-30 or VHI-10 depending on which version was used. Correlations were calculated between the AVQI and VHI-30 and the AVQI and VHI-10 before and after treatment as well as for the percentage change of AVQI and VHI-30/VHI-10. Friedman and Kruskal-Wallis tests were used to determine the pre-and post-treatment effect and group differences respectively. RESULTS: Seventy-eight patients were included in the analyses. The scores of the AVQI (χ²[1] = 24.01, P < 0.001), VHI-30 (χ²[1] = 18.00, P < 0.001), and VHI-10 (χ²[1] = 38.35, P < 0.001) all improved significantly after treatment. However, correlations between the AVQI and VHI-30, and the AVQI and VHI-10 were all non-significant, except for a moderate correlation between the AVQI and VHI-10 before treatment (r[43] = 0.31, P = 0.04). The percentage change of the AVQI and the VHI-30/VHI-10 did not correlate significantly. CONCLUSIONS: Voice therapy significantly improved acoustic and self-perceived vocal outcome measures. However, there was no significant relationship between these measures before or after treatment, nor was there a relationship in their degree of change. Results support the notion that VHI and AVQI measure unique constructs and that voice therapy can have a positive impact on both.

Reliability of the Acoustic Voice Quality Index AVQI and the Acoustic Breathiness Index (ABI) when wearing CoViD-19 protective masks.

PURPOSE: Investigating whether the Acoustic Voice Quality Index (AVQI) and the Acoustic Breathiness Index (ABI) are valid and comparable to previous unmasked measurements if the speaker wears a surgical mask or a FFP-2 mask to reduce the risk of transmitting air-borne viruses such as SARS-CoV-2. METHODS: A convenience sample of 31 subjectively healthy participants was subjected to AVQI and ABI voice examination four times: Twice wearing no mask, once with a surgical mask and once with a FFP-2 mask as used regularly in our hospital. The order of the four mask conditions was randomized. The difference in the results between the two recordings without a mask was then compared to the differences between the recordings with each mask and one recording without a mask. RESULTS: Sixty-two percent of the AVQI readings without a mask represented perfectly healthy voices, the largest AVQI without a mask value was 4.0. The mean absolute difference in AVQI was 0.45 between the measurements without masks, 0.48 between no mask and surgical mask and 0.51 between no mask and FFP-2 mask. The results were neither clinically nor statistically significant. For the ABI the resulting absolute differences (in the same order) were 0.48, 0.69 and 0.56, again neither clinically nor statistically different. CONCLUSION: Based on a convenience sample of healthy or only mildly impaired voices wearing CoViD-19 protective masks does not substantially impair the results of either AVQI or ABI results.

The Acoustic Voice Quality Index (AVQI) in People with Parkinson's Disease Before and After Intensive Voice and Articulation Therapies: Secondary Outcome of a Randomized Controlled Trial.

OBJECTIVES: The majority of individuals with Parkinson's disease (PD) experience voice and speech problems during the course of the disease. Despite the importance of voice quality in communication and the documented disordered voice quality in PD, few studies have explored the effects of speech treatment on this variable. STUDY DESIGN/METHODS: A parallel arm, unblinded randomized controlled trial (RCT) was conducted with two active comparators, LSVT LOUD (n = 23) and LSVT ARTIC (n = 20), and an inactive comparator group of untreated individuals with PD (n = 22). A group of 20 healthy adults was also included for pre-treatment analysis. Voice recordings were obtained pre-treatment, immediately post-treatment and at 6-month follow-up. The acoustic voice quality index (AVQI) is reported here as a secondary outcome measure of the RCT. Linear mixed-effects regression analysis was performed with AVQI and sound pressure level (SPL) as dependent variables. Pearson correlation coefficient analysis was also conducted to explore the relationship between voice quality and SPL. RESULTS: Statistically significant improvements in AVQI and SPL from pre-treatment to post-treatment and follow-up were only observed in the LSVT LOUD group. Voice quality significantly improved only from pre-treatment to follow-up in the LSVT ARTIC group, whilst significant improvements in SPL were observed during maximum phonation only immediately post-treatment. No significant changes were observed in the untreated group. DISCUSSION: This study investigated the effects of intensive speech treatment targeting voice or targeting articulation on voice quality, as measured by the AVQI, in individuals with PD. Findings indicate that voice-focused treatment leads to greater improvements in voice quality in this population.

Comparison and Validation of Acoustic Voice Quality Index Version 2 and Version 3 among South Indian Population.

BACKGROUND: Acoustic Voice Quality Index (AVQI) has emerged in the recent past as a robust multiparametric voice quality evaluation tool. Two versions of AVQI derived using the program PRAAT have found extensive clinical and research applications. These versions have been validated in several languages around the world. However, no research reports are available on validation of AVQI in the South Indian population. Further, studies comparing the performance of the two versions of AVQI are limited in the literature. OBJECTIVES: This study was designed to validate and compare the two versions of AVQI (AVQIv02.02 and AVQIv03.01) in South Indian languages (Malayalam and Kannada). METHODS: A retrospective analysis of previously recorded voice samples was carried out on a total of 160 (91 normophonic and 69 dysphonic) voice samples. These samples were perceptually rated on a GRBAS scale by five experienced speech-language pathologists. Standardized Syllable Number (SSN) necessary to derive AVQIv03.01 was computed. Following this, these samples were analyzed to obtain the AVQIv02.02 and AVQIv03.01. The concurrent validity and diagnostic accuracy of these measures were then examined and compared. RESULTS: A moderate agreement was obtained across the judges on perceptual evaluation of voice quality. SSN in Malayalam and Kannada languages were identified to be 29 and 25 syllables respectively. Language differences were not observed on both versions of AVQI. The concurrent validity of AVQIv03.01 (r = 0.788) was superior to that of AVQIv02.02 (r = 0.655). Further, the threshold of differentiating normophonic and dysphonic samples were determined to be >3.45 for AVQIv02.02 and >2.45 for AVQIv03.01. CONCLUSIONS: AVQIv03.01 is superior to AVQIv02.02 in terms of its diagnostic accuracy and concurrent validity. Current findings also extend the application of AVQI as a robust tool for the evaluation of voice characteristics to the South Indian population.

Effect of Age and Gender on Acoustic Voice Quality Index Across Lifespan: A Cross-sectional Study in Indian Population.

BACKGROUND: The human voice is dynamic and changes throughout the life span. The effects of age and gender on acoustical measures of voice quality have been well established. Assessment of voice quality using multiparametric measures has been recommended over singleton measures. Acoustic Voice Quality Index (AVQI), which is a multiparametric measure of voice quality, has gained popularity in the recent past. Studies investigating the effect of age on AVQI are very limited especially across the life span. The majority of the studies involving AVQI have been carried out in the European and East Asian populations. There is a dearth of studies involving AVQI in the Indian population. OBJECTIVES: The present study was taken up to investigate the effects of age, gender on the AVQI version 02.02 in the Indian population. The present study also aimed to establish reference data for AVQI in the Indian population. METHOD: AVQI and its constituent parameters were obtained from a total of 200 participants (50 pediatrics, 100 adults and 50 older adults) with an equal number of males and females. Multivariate Analysis of Variance was carried out to check the significant differences across age group and gender for AVQI and its constituent parameters along with interaction effects. RESULTS: AVQI values obtained from the Indian population were slightly higher than those reported in the earlier literature for the European and East Asian populations. AVQI obtained by pediatric and older adult groups was found to be significantly higher when compared to that of adults. Significant age effects were also demonstrated by AVQI. The values of AVQI were found to be more stable in adults than in pediatric and older adult groups. AVQI values did not differ significantly across older adult and pediatric groups. Gender effects were not observed in AVQI. CONCLUSION: This is the first study to report changes in AVQI across the lifespan in the Indian population. The present study adds on to the literature the reference measures of AVQI for the Indian population. Findings of the present study suggest that age can have an impact on AVQI v.02.02 values; even though it is independent of gender.

A Comparative Study on Acoustic Voice Quality Index Between the Subjects with Spasmodic Dysphonia and Normophonia.

Spasmodic dysphonia is one of the neurologic voice disorders that is rare, chronic and long term caused by excessive or inappropriate contraction of the laryngeal muscles. The condition is more common in females than males. Assessment of such disorders requires acoustic, perceptual, instrumental and self-reported rating scales for effective diagnosis and intervention. The Acoustic Voice Quality Index is a recent, multivariate acoustic measure of dysphonia measuring the overall quality of voice including both vowels and connected speech in Praat software using AVQI script. The study aimed at comparing, observing and analysing the thresholds of AVQI obtained in the two groups. The study also targeted to show an effective co relation between GRBAS scale and thresholds of AVQI using sustained vowel /α/ and Bengali oral passage. A total of 14 participants were chosen with age range 20-50 years, 7 participants were normophonic and 7 participants were having spasmodic dysphonia. Comparison was done between the 2 groups showing a significant difference (p < 0.05) between the groups. A strong co relation was obtained (α = 0.98) between two scales. Thus AVQI does the job of appropriate diagnostic tool for obtaining the scores of dysphonic population and need to be explored in other voice problems.

Resonant Voice: Perceptual and Acoustic Analysis After an Intensive Lessac Kinesensic Training Workshop.

OBJECTIVE: To investigate whether actors' and actresses' voices post an Intensive Lessac Kinesensic Training Workshop - ILKTW can be perceptually identified as more resonant, and to assess if the Acoustic Voice Quality Index (AVQI), the Acoustic Breathing Index (ABI), and their acoustic measures are able to indicate the classified voices as more resonant. METHODS: Eight vocally healthy English first-language actors and actresses, participants of the same ILKTW, were asked to sustain the vowel /a/ and to read a piece of the Rainbow Passage, pre and postworkshop, at a self-selected habitual frequency and intensity. The readings were divided into initial and final parts, both with 34 syllables, and combined with the vowel /a/ (3s). The pre and postworkshop recordings (pairs of the initial and final parts followed by the /a/ vowel) of each participant were randomly presented to a voice expert who rated the samples as more resonant or similar. The same samples were analyzed using the AVQI and ABI scripts. RESULTS: 87,5% of the initial parts and 100% of the final in postworkshop were rated by the voice expert as more resonant. Tilt was higher for the postworkshop initial parts (P = 0.036), but a correlation with the perceptual rating wasn't found. HNR was higher (P = 0.018) and jitter was lower (P = 0.017) for the postworkshop final parts. The statistical analysis comparing the perceptive and acoustic data for the final samples couldn't be applied. CONCLUSION: It seems that the ILKTW has a positive impact on the development of a resonant voice and that the perceptual auditory rating was more effective to describe resonant voices than the AVQI, ABI, and its acoustic measures.

The Efficacy of the NHS Waterpipe in Superficial Hydration for People With Healthy Voices: Effects on Acoustic Voice Quality, Phonation Threshold Pressure and Subjective Sensations.

OBJECTIVES: This study examined the efficacy of the NHS waterpipe as a superficial hydration treatment in voice production in healthy young women. STUDY DESIGN: This is a prospective, single-blind, within- and between-subject experimental design. METHODS: Thirty six female university students (mean age 24.6 years, range 19-45 years) were recruited to the study. Participants were randomized to two experimental groups (E1 and E2) and a control group. E1 underwent hydration treatment with the NHS waterpipe filled with 0.9% saline that was immersed in a cup of heated water. E2 underwent a similar treatment but without heated immersion. The control group received no treatment. Acoustic Voice Quality Index (AVQI v03.01) and its subparameters, phonation threshold pressure, self-perceived phonatory effort and sensation of throat dryness was measured at three time points (before the intervention and immediately and 15 minutes after it). RESULTS: The Tilt of the AVQI's subparameters increased significantly in the E1 (P = 0.027) and E2 groups (P = 0.027) after the intervention. Furthermore, the E1 group had significantly lower harmonics-to-noise-ratio values at the third measurement point compared to the E2 group (P = 0.023). These findings may result from fluid transported to the vocal fold level. The sensations of throat dryness decreased in the E1 (P = 0.001) and E2 groups (P < 0.0005) after the intervention. Perceived phonatory effort decreased statistically significantly at the final measurement point in the E1 (P = 0.002) and E2 (P = 0.031) groups. No variables changed in the control group. CONCLUSIONS: The waterpipe seems to be efficient in hydrating vocal folds on single use. It seems to be more efficient when employed with a hot water bath, albeit slightly impairing some acoustic values in the short term. Without the heated fluid, it still seems to decrease sensations of throat dryness and affect acoustic voice quality. The waterpipe does not seem to have an effect on phonation threshold pressure, and it seems to lower self-perceived effort just as efficiently whether the waterpipe is employed using a hot water bath or not. Further research is needed to prove the efficacy of long-term usage and usage with voice patients.