Effects of Age on Speech-in-Noise Identification: Subjective Ratings of Hearing Difficulties and Encoding of Fundamental Frequency in Older Adults

Learning effects in speech-in-noise tasks: Effect of masker modulation and masking release

Previous research has shown that learning effects are present for speech intelligibility in temporally modulated (TM) noise, but not in stationary noise. The present study aimed to gain more insight into the factors that might affect the time course (the number of trials required to reach stable performance) and size [the improvement in the speech reception threshold (SRT)] of the learning effect. Two hypotheses were addressed: (1) learning effects are present in both TM and spectrally modulated (SM) noise and (2) the time course and size of the learning effect depend on the amount of masking release caused by either TM or SM noise. Eighteen normal-hearing adults (23-62 years) participated in SRT measurements, in which they listened to sentences in six masker conditions, including stationary, TM, and SM noise conditions. The results showed learning effects in all TM and SM noise conditions, but not for the stationary noise condition. The learning effect was related to the size of masking release: a larger masking release was accompanied by an increased time course of the learning effect and a larger learning effect. The results also indicate that speech is processed differently in SM noise than in TM noise.

On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees

Current clinical strategies to assess benefits from hearing aids (HAs) are based on self-reported questionnaires and speech-in-noise (SIN) tests; which require behavioural cooperation. Instead, objective measures based on Auditory Brainstem Responses (ABRs) to speech stimuli would not require the individuals' cooperation. Here, we re-analysed an existing dataset to predict behavioural measures with speech-ABRs using regression trees. Ninety-two HA users completed a self-reported questionnaire (SSQ-Speech) and performed two aided SIN tests: sentences in noise (BKB-SIN) and vowel-consonant-vowels (VCV) in noise. Speech-ABRs were evoked by a 40 ms [da] and recorded in 2x2 conditions: aided vs. unaided and quiet vs. background noise. For each recording condition, two sets of features were extracted: 1) amplitudes and latencies of speech-ABR peaks, 2) amplitudes and latencies of speech-ABR F0 encoding. Two regression trees were fitted for each of the three behavioural measures with either feature set and age, digit-span forward and backward, and pure tone average (PTA) as possible predictors. The PTA was the only predictor in the SSQ-Speech trees. In the BKB-SIN trees, performance was predicted by the aided latency of peak F in quiet for participants with PTAs between 43 and 61 dB HL. In the VCV trees, performance was predicted by the aided F0 encoding latency and the aided amplitude of peak VA in quiet for participants with PTAs ≤ 47 dB HL. These findings indicate that PTA was more informative than any speech-ABR measure, as these were relevant only for a subset of the participants. Therefore, speech-ABRs evoked by a 40 ms [da] are not a clinical predictor of behavioural measures in HA users.

Effect of Vowel Auditory Training on the Speech-In-Noise Perception among Older Adults with Normal Hearing

Introduction:

Aging reduces the ability to understand speech in noise. Hearing rehabilitation is one of the ways to help older people communicate effectively. This study aimed to investigate the effect of vowel auditory training on the improvement of speech-in-noise (SIN) perception among elderly listeners.

Materials and Methods:

This study was conducted on 36 elderly listeners (17 males and 15 females) with the mean±SD of 67.6±6.33. They had the normal peripheral auditory ability but had difficulties in SIN perception. The samples were randomly divided into two groups of intervention and control. The intervention group underwent vowel auditory training; however, the control group received no training.

Results:

After vowel auditory training, the intervention group showed significant changes in the results of the SIN test at two signal-to-noise ratios of 0 and -10 and the Iranian version of the Speech, Spatial, and Qualities of Hearing Scale, compared to the control group (P<0.001). Regarding the Speech Auditory Brainstem Response test, the F₀ magnitude was higher in the intervention group (8.42±2.26), compared to the control group (6.68±1.87) (P<0.011).

Conclusion:

This study investigated the effect of vowel auditory training on the improvement of SIN perception which could be probably due to better F₀ encoding and receiving. This ability enhancement resulted in the easier perception of speech and its more proper separation from background noise which in turn enhanced the ability of the old people to follow the speech of a specific person and track the discussion.

A New Speech-in-Noise Test for Measuring Informational Masking in Speech Perception Among Elderly Listeners

Introduction Elderly listeners have reported concerns about speech perception in noisy environments. This partly occurs because of their increased informational masking (IM). This study aimed to develop a Persian coordinate response measure (CRM) corpus and a novel speech-in-noise test for measuring IM. Material and methods A cross-sectional validation study was conducted in two parts. Part one was the determination of the validity and reliability of the Persian CRM corpus. Part two consisted of measuring the IM at five signal-to-noise ratio (SNR; -6,-3, 0, +3, and +6) in two conditions: one with the target and masker speaker of the same sex and one with the target and masker speaker of different sexes. In each condition, the IM measurements were performed at a 45° separation angle of target and maskers and as a co-location of the speakers. A group of young listeners aged 20 to 40 years and a group of elderly listeners aged 60 to 75 years were recruited (50 study participants in part one and 47 in part two). The study was conducted from July 2018 to March 2019 at the Iran University Medical Sciences audiology clinic. Content validity ratio, content validity index, impact score, Spearman's test, and Mann-Whitney's test were used for statistical analysis. Results The Persian CRM corpus showed acceptable validity and reliability in each group (p < 0.001). The results suggested that in both azimuth locations and at SNRs of 0, -3, and -6, the IM amount in the elderly group was significantly higher (p < 0.003) than in the young group at conditions of target and masker speakers of opposite-sex. However, in cases where both target and masker speakers were of the same sex, a significant difference was observed at an SNR of 0 in angular separation and SNRs of +3 and 0 at co-located situations (p < 0.001). Conclusion A validated Persian CRM corpus has been collected for use in IM measurement studies. Overall, the IM of elderly listeners was higher than younger listeners in low-cue situations such as lower SNR. Therefore, a novel speech-in-noise test for measuring IM was validated to use in speech perception studies in the elderly population.

Speech Recognition in Noise for Adults With Normal Hearing: Age-Normative Performance for AzBio, BKB-SIN, and QuickSIN

OBJECTIVE

Characterize performance for adults aged 20 to 79 years with normal hearing on tasks of AzBio, Bamford-Kowal-Bench speech-in-noise (BKB-SIN), quick speech-in-noise (QuickSIN), and acoustic Quick Spectral Modulation Detection (QSMD) in the sound field.

SETTING

Cochlear implant (CI) program.

PATIENTS

Eighty-one adults with normal hearing and cognitive function were recruited evenly across four age groups (20-49, 50-59, 60-69, and 70-79 yr).

INTERVENTIONS

Subjects completed AzBio sentence recognition testing in quiet and in five signal-to-noise ratios (SNRs: +10, +5, 0, -5, -10 dB), as well as the BKB-SIN, QuickSIN, and QSMD tasks.

MAIN OUTCOME MEASURES

AzBio, BKB-SIN, QuickSIN, and acoustic QSMD scores were analyzed to characterize typical sound field performance in an older adult population with normal hearing.

RESULTS

AzBio sentence recognition performance approached ceiling for sentences presented at ≥ 0 dB SNR with mean scores ranging from 3.5% at -10 dB SNR to 99% at +10 dB SNR. Mean QuickSIN SNR-50 was -0.02. Mean BKB-SIN SNR-50 was -1.31 dB. Mean acoustic QSMD score was 88%. Performance for all measures decreased with age.

CONCLUSION

Adults with age-normative hearing achieve ceiling-level performance for AzBio sentence recognition at SNRs used for clinical cochlear implant and/or hearing aid testing. Thus, these tasks are not inherently contraindicated for older listeners. Older adults with normal hearing, however, demonstrated greater deficits for speech in noise compared to younger listeners-an effect most pronounced at negative SNRs. Lastly, BKB-SIN data obtained in the sound field replicated previous normative data for only the youngest age group, suggesting that new norms should be considered for older populations.