Voice Quality in Telephone Interviews: A preliminary Acoustic Investigation

Pommée, Timothy; Morsomme, Dominique

doi:10.1016/j.jvoice.2022.08.027

Cited by 2 publications

(2 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Others discovered that AVQI measures obtained from smartphone microphone voice recordings with experimentally added ambient noise disclosed an amicable settlement with the results of oral microphone recordings, implying that smartphone microphone recordings conducted, even with the existence of acceptable ambient noise, are suitable for estimating AVQI [13]. Pommes wanted to see how standardized mobile phone recordings transferred across a telecom channel affected acoustic indicators of speech quality and how voice specialists perceived it in normophonic speakers [14]. The results reveal that sending a speech signal across a telephone line causes filtering and noise effects, limiting the use of popular acoustic sound quality metrics and indexes.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Two recent studies found that none of the studied smartphones could replace the professional microphone in a voice recording to evaluate the six parameters analyzed, except for f 0 and jitter. Moreover, passing a voice signal through a telecom channel induced both filter and noise effects which significantly impacted common acoustic voice quality measures [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

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

Uloza,

Ulozaitė-Stanienė,

Petrauskas

et al. 2023

JCM

View full text Add to dashboard Cite

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.

show abstract

Voice Quality in Telephone Interviews: A preliminary Acoustic Investigation

Cited by 2 publications

References 91 publications

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

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

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

Contact Info

Product

Resources

About