Smartphone Recordings are Comparable to "Gold Standard" Recordings for Acoustic Measurements of Voice.

PURPOSE: The purpose of this study was to assess the relationship and comparability of cepstral and spectral measures of voice obtained from a high-cost "flat" microphone and precision sound level meter (SLM) vs. high-end and entry level models of commonly and currently used smartphones (iPhone i12 and iSE; Samsung s21 and s9 smartphones). Device comparisons were also conducted in different settings (sound-treated booth vs. typical "quiet" office room) and at different mouth-to-microphone distances (15 and 30 cm). METHODS: The SLM and smartphone devices were used to record a series of speech and vowel samples from a prerecorded diverse set of 24 speakers representing a wide range of sex, age, fundamental frequency (F0), and voice quality types. Recordings were analyzed for the following measures: smoothed cepstral peak prominence (CPP in dB); the low vs high spectral ratio (L/H Ratio in dB); and the Cepstral Spectral Index of Dysphonia (CSID). RESULTS: A strong device effect was observed for L/H Ratio (dB) in both vowel and sentence contexts and for CSID in the sentence context. In contrast, device had a weak effect on CPP (dB), regardless of context. Recording distance was observed to have a small-to-moderate effect on measures of CPP and CSID but had a negligible effect on L/H Ratio. With the exception of L/H Ratio in the vowel context, setting was observed to have a strong effect on all three measures. While these aforementioned effects resulted in significant differences between measures obtained with SLM vs. smartphone devices, the intercorrelations of the measurements were extremely strong (r's > 0.90), indicating that all devices were able to capture the range of voice characteristics represented in the voice sample corpus. Regression modeling showed that acoustic measurements obtained from smartphone recordings could be successfully converted to comparable measurements obtained by a "gold standard" (precision SLM recordings conducted in a sound-treated booth at 15 cm) with small degrees of error. CONCLUSIONS: These findings indicate that a variety of commonly available modern smartphones can be used to collect high quality voice recordings usable for informative acoustic analysis. While device, setting, and distance can have significant effects on acoustic measurements, these effects are predictable and can be accounted for using regression modeling.

Controlled (re)evaluation of the relationship between speech perception in noise and contralateral suppression of otoacoustic emissions.

In people with normal hearing (NH), speech perception in noise (SPIN) improves when the speech signal is presented not gated with noise but after a delay. The medial olivocochlear reflex (MOCR) was thought to be involved in the neural dynamic range adaptation (NDRA) responsible for this adaptive SPIN; however, some of the recent studies do not support this hypothesis and suggest that adaptive SPIN involves the NDRA to noise-level statistics, irrespective of MOCR activation. A plausible reason for this discrepancy could be the variations and limitations of the experimental designs used in different studies. Using a relatively controlled and comprehensive study design, this study attempts to verify whether a delay between the delivery of speech and the noise improves the SPIN and whether MOCR mediates such effects. The SPIN was estimated by measuring speech reception thresholds (SRT) in noise under simultaneous-onset and delayed-onset (noise precedes speech onset by 300 ms) conditions. The SPIN in both ears was independently examined for ipsilateral, contralateral, and bilateral noise in women with normal hearing (N = 18; age range, 18-25 years). Contralateral suppression of transient-evoked otoacoustic emissions (CSOAEs) was used to estimate the MOCR based cochlear gain reduction. Under all test conditions, SPIN was improved in delayed-onset than in simultaneous-onset conditions, and the mean improvement in the SRT ranged from 0.7±1.7 to 1.8±1.8 dB. No significant correlation was obtained between CSOAEs and the mean temporal improvement in SRT, suggesting that MOCR may not be a predominant mechanism for the temporal improvement in SPIN.

Comparison of Questionnaire-Based and Performance-Based Screening Tools as Predictors of Auditory Processing Disorder.

Purpose The purpose of this study was to compare questionnaire-based and performance-based screening tools as predictors of an auditory processing disorder (APD) diagnosis. The questionnaire-based screening tools used were the Children's Auditory Performance Scale, Fisher's Auditory Problems Checklist, and Buffalo Model Questionnaire-Revised. The performance-based screening tools were from the SCAN-3 screening tests, that is, Auditory Figure Ground, Competing Words Free Recall (CW-FR), and Gap Detection Test. Predictability was ascertained by comparing the scores from screening tools with those from diagnostic APD tests and with the final diagnosis of APD. Research Design This study is a retrospective single-observation study. Method The screening and diagnostic test results were retrospectively analyzed from the medical records of 85 individuals (female = 39) aged 7-23 years who were seen for APD assessment at Bloomsburg University's Clinic for Hearing and Balance. Each participant was assessed with at least two questionnaire-based and at least two performance-based screening tools. Results Spearman correlation coefficient analysis showed a moderate relationship within questionnaire-based screening tools, whereas there was no relationship between questionnaire- and performance-based tools. Notably, the performance-based CW-FR screening tool showed a significant relationship with five diagnostic tests. The questionnaire-based screening tools did not predict APD diagnosis. The performance-based tool CW-FR (φ = 0.33) and the SCAN-3 screening battery (φ = 0.44) predicted the diagnosis of APD. Conclusion A performance-based screening tool or battery can be used to determine whether additional diagnostic APD evaluation is warranted. Referral for diagnostic assessment should not be based solely on questionnaire-based screening tools.

Hearing and Balance Disorders in the State of Hawai'i: Demographics and Demand for Services.

Hearing and balance disorders affect people of all ages. Among children, hearing loss affects speech and language development, academic performance, and psychosocial development. Hearing loss in adults negatively impacts work productivity, cognitive function, and psychosocial status. Prevalence of hearing loss in children in Hawai'i is higher than the national average. Research indicates that hearing loss is a prevalent condition among veterans and advanced age adults. This is of particular concern in Hawai'i as the state is home to many military training facilities and has a large elderly population. In contrast to the higher than average prevalence of hearing loss in Hawai'i, there is a relatively small number of practicing audiologists in the state. Audiologists are independent doctoral level professionals responsible for the assessment and non-medical management of hearing impairment, vestibular disorders, auditory processing disorder, auditory neuropathy, tinnitus, and related disorders. Currently, there is no formal audiology training program in Hawai'i to meet the needs for current or future hearing health professionals. The Department of Communication Sciences and Disorders at the University of Hawai'i at Manoa is developing a proposal for a Doctor of Audiology (Au.D.) program to provide a comprehensive doctoral-level audiology curriculum and clinical training in order to graduate audiologists with knowledge and skills needed to serve people with hearing and balance disorders in Hawai'i. This review article describes the current status of hearing and balance disorders and services in Hawai'i and stresses the importance of early identification and intervention in remediating their effects in all ages, with a focus on the need for expanding hearing health services in Hawai'i.

Maturational Changes in Ear Advantage for Monaural Word Recognition in Noise Among Listeners with Central Auditory Processing Disorders.

This study aimed to investigate differences between ears in performance on a monaural word recognition in noise test among individuals across a broad range of ages assessed for (C)APD. Word recognition scores in quiet and in speech noise were collected retrospectively from the medical files of 107 individuals between the ages of 7 and 30 years who were diagnosed with (C)APD. No ear advantage was found on the word recognition in noise task in groups less than ten years. Performance in both ears was equally poor. Right ear performance improved across age groups, with scores of individuals above age 10 years falling within the normal range. In contrast, left ear performance remained essentially stable and in the impaired range across all age groups. Findings indicate poor left hemispheric dominance for speech perception in noise in children below the age of 10 years with (C)APD. However, a right ear advantage on this monaural speech in noise task was observed for individuals 10 years and older.

Impact of Different Cutoff Criteria on Rate of (Central) Auditory Processing Disorders Diagnosis Using the Central Test Battery.

The purpose of this study was to quantify how the use of two different cutoff criteria affects the test failure rate and potential diagnosis of central auditory processing disorder ([C]APD) in a sample of children subjected to central auditory processing ([C]AP) assessment. Test failure rates for the central test battery (CTB) using two different cutoff criteria (1 and 2 SDs below the mean) were measured retrospectively for 98 children who completed (C)AP assessment. The rates of potential (C)APD diagnosis ranged from 86.8% [when a 1 standard deviation (SD) cutoff was used] to 66.2% (when a 2 SD cutoff was used). The current use of two different cutoffs for the CTB has a large impact on the diagnostic rate for (C)APD. These findings have clinical implications for the diagnosis of (C)APD due to the widespread use of the CTB in the United States for the assessment of (C)APD in children. Thus, it is important to create awareness among audiologists that use of the 2 SDs cutoff criterion is recommended for reducing false positives (error).

Macro-scale phenomena of arterial coupled cells: a massively parallel simulation.

Impaired mass transfer characteristics of blood-borne vasoactive species such as adenosine triphosphate in regions such as an arterial bifurcation have been hypothesized as a prospective mechanism in the aetiology of atherosclerotic lesions. Arterial endothelial cells (ECs) and smooth muscle cells (SMCs) respond differentially to altered local haemodynamics and produce coordinated macro-scale responses via intercellular communication. Using a computationally designed arterial segment comprising large populations of mathematically modelled coupled ECs and SMCs, we investigate their response to spatial gradients of blood-borne agonist concentrations and the effect of micro-scale-driven perturbation on the macro-scale. Altering homocellular (between same cell type) and heterocellular (between different cell types) intercellular coupling, we simulated four cases of normal and pathological arterial segments experiencing an identical gradient in the concentration of the agonist. Results show that the heterocellular calcium (Ca(2+)) coupling between ECs and SMCs is important in eliciting a rapid response when the vessel segment is stimulated by the agonist gradient. In the absence of heterocellular coupling, homocellular Ca(2+) coupling between SMCs is necessary for propagation of Ca(2+) waves from downstream to upstream cells axially. Desynchronized intracellular Ca(2+) oscillations in coupled SMCs are mandatory for this propagation. Upon decoupling the heterocellular membrane potential, the arterial segment looses the inhibitory effect of ECs on the Ca(2+) dynamics of the underlying SMCs. The full system comprises hundreds of thousands of coupled nonlinear ordinary differential equations simulated on the massively parallel Blue Gene architecture. The use of massively parallel computational architectures shows the capability of this approach to address macro-scale phenomena driven by elementary micro-scale components of the system.