Background: Speech understanding in noise is comparatively more problematic for older listeners with and without hearing loss, and age-related changes in temporal resolution might be associated with reduced speech recognition in complex noise.
Purpose: The purpose of this study was to investigate the effects of aging on temporal processing and speech perception in noise for normal-hearing (NH) and cochlear-implant (CI) listeners.
Research Design: All participants completed three experimental procedures: (1) amplitude modulation (AM) detection thresholds, (2) sentence recognition in quiet, and (3) speech recognition in steady or modulating noise.
Study Sample: Four listener groups participated in the study: 11 younger (≤ 30 yr old, YNH) listeners and 12 older (> 60 yr old, ONH) listeners with NH and 7 younger (< 55 yr old, YCI) and 6 older (> 60 yr old, OCI) CI users. CI listeners have been wearing their device either monaurally or binaurally at least 1 yr.
Data Collection And Analysis: For speech recognition testing, there were eight listening conditions in noise (4 modulation frequencies × 2 signal-to-noise ratios) and one in quiet for each listener. For modulation detection testing, a broadband noise with a duration of 500 msec served as the stimuli at three temporal modulation frequencies of 2, 4, and 8 Hz, which were used to modulate the noise in the speech recognition experiment. We measured AM detection thresholds using a two-interval, two-alternative, forced-choice adaptive procedure. We conducted a series of analysis of variance tests to examine the effect of aging on each test result and measured the correlation coefficient between speech recognition in noise and modulation detection thresholds.
Results: Although older NH and CI listeners performed similar to the younger listeners with the same hearing status for sentence recognition in quiet, there was a significant aging effect on speech recognition in noise. Regardless of modulation frequency and signal-to-noise ratio, speech recognition scores of the older listeners were poorer than those of the younger listeners when hearing status was matched. We also found a significant effect of aging on AM detection at each modulating frequency and a strong correlation between speech recognition in modulating noise and AM detection thresholds at 2 and 4 Hz.
Conclusions: Regardless of differences in hearing status, the degree and pattern of aging effect on auditory processing of the NH listener groups were similar to those of the CI listener groups. This result suggests that age-related declines in speech understanding are likely multifactorial, including peripheral and central factors. Although the age cutoff of the current older age group was 10 yr less than in previous studies (Dubno et al, 2002; Lin et al, 2011), we still found the age-related differences on two auditory tasks. This study extends the knowledge of age-related auditory perception difficulties to CI listeners.
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http://dx.doi.org/10.3766/jaaa.25.7.4 | DOI Listing |
Vestn Oftalmol
December 2024
N.A. Semashko National Research Institute of Public Health, Moscow, Russia.
This article presents a creative biography of Sergey Selivanovich Golovin, the prominent Russian ophthalmologist of the first quarter of the 20th century. The work is based on archival research and analysis of published materials, and characterizes the career of S.S.
View Article and Find Full Text PDFAm J Otolaryngol
December 2024
Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin 300192, China; Institute of Otolaryngology of Tianjin, Tianjin, China; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China; Key Clinical Discipline of Tianjin (Otolaryngology), Tianjin, China; Otolaryngology Clinical Quality Control Centre, Tianjin, China.
Purpose: To use deep learning technology to design and implement a model that can automatically classify laryngoscope images and assist doctors in diagnosing laryngeal diseases.
Materials And Methods: The experiment was based on 3057 images (normal, glottic cancer, granuloma, Reinke's Edema, vocal cord cyst, leukoplakia, nodules and polyps) from the dataset Laryngoscope8. A classification model based on deep neural networks was developed and tested.
Vestn Otorinolaringol
December 2024
St. Petersburg Research Institute of Ear, Throat, Nose and Speech, St. Petersburg, Russia.
Unlabelled: Central auditory disorders (CSD) - this is a violation of the processing of sound stimuli, including speech, above the cochlear nuclei of the brain stem, which is mainly manifested by difficulties in speech recognition, especially in noisy environments. Children with this pathology are more likely to have behavioral problems, impaired auditory, linguistic and cognitive development, and especially difficulties with learning at school.
Objective: To analyze the literature data on the epidemiology of central auditory disorders in school-age children.
Audiol Res
December 2024
Division of Audiology, Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN 55902, USA.
Background/objectives: Adult hearing-impaired patients qualifying for cochlear implants typically exhibit less than 60% sentence recognition under the best hearing aid conditions, either in quiet or noisy environments, with speech and noise presented through a single speaker. This study examines the influence of deep neural network-based (DNN-based) noise reduction on cochlear implant evaluation.
Methods: Speech perception was assessed using AzBio sentences in both quiet and noisy conditions (multi-talker babble) at 5 and 10 dB signal-to-noise ratios (SNRs) through one loudspeaker.
Audiol Res
December 2024
Audiology, Primary Care Department, AUSL of Modena, 41100 Modena, Italy.
: Hearing loss is a highly prevalent condition in the world population that determines emotional, social, and economic costs. In recent years, it has been definitely recognized that the lack of physiological binaural hearing causes alterations in the localization of sounds and reduced speech recognition in noise and reverberation. This study aims to explore the psycho-social profile of adult workers affected by single-sided deafness (SSD), without other major medical conditions and otological symptoms, through comparison to subjects with normal hearing.
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