Unilateral versus Bilateral Amplification for Adults with Impaired Hearing

2005 ◽  
Vol 16 (08) ◽  
pp. 574-584 ◽  
Author(s):  
Therese C. Walden ◽  
Brian E. Walden
Keyword(s):  
Speech Recognition ◽  
Test Scores ◽  
Background Noise ◽  
Older Patients ◽  
Deleterious Effect ◽  
Impaired Hearing ◽  
Speech In Noise ◽  
Hearing Thresholds ◽  
Noise Test ◽  
The Right

This study compared unilateral and bilateral aided speech recognition in background noise in 28 patients being fitted with amplification. Aided QuickSIN (Quick Speech-in-Noise test) scores were obtained for bilateral amplification and for unilateral amplification in each ear. In addition, right-ear directed and left-ear directed recall on the Dichotic Digits Test (DDT) was obtained from each participant. Results revealed that the vast majority of patients obtained better speech recognition in background noise on the QuickSIN from unilateral amplification than from bilateral amplification. There was a greater tendency for bilateral amplification to have a deleterious effect among older patients. Most frequently, better aided QuickSIN performance was obtained in the right ear of participants, despite similar hearing thresholds in both ears. Finally, patients tended to perform better on the DDT in the ear that provided less SNR loss on the QuickSIN. Results suggest that bilateral amplification may not always be beneficial in every daily listening environment when background noise is present, and it may be advisable for patients wearing bilateral amplification to remove one hearing aid when difficulty is encountered understanding speech in background noise.

Speech in noise testing before and after grommet insertion

2012 ◽  
Vol 126 (10) ◽  
pp. 1010-1015 ◽  
Author(s):  
V Possamai ◽  
G Kirk ◽  
A Scott ◽  
D Skinner
Keyword(s):  
Small Group ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Sound Field ◽  
Noise Signal ◽  
Signal To Noise ◽  
Speech In Noise ◽  
Before And After ◽  
Noise Test ◽  
Noise Ratio

AbstractObjectives:To assess the feasibility of designing and implementing a speech in noise test in children before and after grommet insertion, and to analyse the results of such a test in a small group of children.Methods:Twelve children aged six to nine years who were scheduled to undergo grommet insertion were identified. They underwent speech in noise testing before and after grommet insertion. This testing used Arthur Boothroyd word lists read at 60 dB in four listening conditions presented in a sound field: firstly in quiet conditions, then in signal to noise ratios of +10 (50 dB background noise), 0 (60 dB) and −10 (70 dB).Results:Mean phoneme scores were: in quiet conditions, 28.1 pre- and 30 post-operatively (p = 0.04); in 50 dB background noise (signal to noise ratio +10), 24.2 pre- and 29 post-operatively (p < 0.01); in 60 dB background noise (signal to noise ratio 0), 22.6 pre- and 27.5 post-operatively (p = 0.06); and in 70 dB background noise (signal to noise ratio −10), 13.9 pre- and 21 post-operatively (p = 0.05).Conclusion:This small study suggests that speech in noise testing is feasible in this scenario. Our small group of children demonstrated a significant improvement in speech in noise scores following grommet insertion. This is likely to translate into a significant advantage in the educational environment.

scholarly journals Increased Right Frontal Brain Activity During the Mandarin Hearing-in-Noise Test

2020 ◽  
Vol 14 ◽  
Author(s):  
Fengxiang Song ◽  
Yi Zhan ◽  
James C. Ford ◽  
Dan-Chao Cai ◽  
Abigail M. Fellows ◽  
...  
Keyword(s):  
Background Noise ◽  
Sentence Comprehension ◽  
Brain Activation ◽  
Button Press ◽  
Speech Comprehension ◽  
Tonal Language ◽  
Frontal Brain ◽  
Hearing In Noise ◽  
Noise Test ◽  
The Right

PurposePrevious studies have revealed increased frontal brain activation during speech comprehension in background noise. Few, however, used tonal languages. The normal pattern of brain activation during a challenging speech-in-nose task using a tonal language remains unclear. The Mandarin Hearing-in-Noise Test (HINT) is a well-established test for assessing the ability to interpret speech in background noise. The current study used Mandarin HINT (MHINT) sentences and functional magnetic resonance imaging (fMRI) to assess brain activation with MHINT sentences.MethodsThirty native Mandarin-speaking subjects with normal peripheral hearing were recruited. Functional MRI was performed while subjects were presented with either HINT “clear” sentences with low-level background noise [signal-to-noise ratio (SNR) = +3 dB] or “noisy” sentences with high-level background noise (SNR = −5 dB). Subjects were instructed to answer with a button press whether a visually presented target word was included in the sentence. Brain activation between noisy and clear sentences was compared. Activation in each condition was also compared to a resting, no sentence presentation, condition.ResultsNoisy sentence comprehension showed increased activity in areas associated with tone processing and working memory, including the right superior and middle frontal gyri [Brodmann Areas (BAs) 46, 10]. Reduced activity with noisy sentences was seen in auditory, language, memory and somatosensory areas, including the bilateral superior and middle temporal gyri, left Heschl’s gyrus (BAs 21, 22), right temporal pole (BA 38), bilateral amygdala-hippocampus junction, and parahippocampal gyrus (BAs 28, 35), left inferior parietal lobule extending to left postcentral gyrus (BAs 2, 40), and left putamen.ConclusionIncreased frontal activation in the right hemisphere occurred when comprehending noisy spoken sentences in Mandarin. Compared to studies using non-tonal languages, this activation was strongly right-sided and involved subregions not previously reported. These findings may reflect additional effort in lexical tone perception in this tonal language. Additionally, this continuous fMRI protocol may offer a time-efficient way to assess group differences in brain activation with a challenging speech-in-noise task.

scholarly journals ‘Normal’ hearing thresholds and fundamental auditory grouping processes predict difficulties with speech-in-noise perception

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Emma Holmes ◽  
Timothy D. Griffiths
Keyword(s):  
Background Noise ◽  
Normal Hearing ◽  
Auditory Grouping ◽  
Speech In Noise ◽  
Clinically Normal ◽  
Stochastic Background ◽  
Tone Pattern ◽  
Hearing Thresholds ◽  
Everyday Task ◽  
Over Time

AbstractUnderstanding speech when background noise is present is a critical everyday task that varies widely among people. A key challenge is to understand why some people struggle with speech-in-noise perception, despite having clinically normal hearing. Here, we developed new figure-ground tests that require participants to extract a coherent tone pattern from a stochastic background of tones. These tests dissociated variability in speech-in-noise perception related to mechanisms for detecting static (same-frequency) patterns and those for tracking patterns that change frequency over time. In addition, elevated hearing thresholds that are widely considered to be ‘normal’ explained significant variance in speech-in-noise perception, independent of figure-ground perception. Overall, our results demonstrate that successful speech-in-noise perception is related to audiometric thresholds, fundamental grouping of static acoustic patterns, and tracking of acoustic sources that change in frequency. Crucially, speech-in-noise deficits are better assessed by measuring central (grouping) processes alongside audiometric thresholds.

scholarly journals Psychometric Comparison of the Hearing in Noise Test and the American English Matrix Test

2019 ◽  
Vol 30 (04) ◽  
pp. 315-326 ◽  
Author(s):  
Jumana Harianawala ◽  
Jason Galster ◽  
Benjamin Hornsby
Keyword(s):  
Speech Recognition ◽  
Hearing Aids ◽  
Repeated Measures ◽  
American English ◽  
Hearing Aid ◽  
Speech Corpus ◽  
Speech In Noise ◽  
Hearing In Noise ◽  
Noise Test ◽  
Intensity Functions

AbstractThe hearing in noise test (HINT) is the most popular adaptive test used to evaluate speech in noise performance, especially in context of hearing aid features. However, the number of conditions that can be tested on the HINT is limited by a small speech corpus. The American English Matrix test (AEMT) is a new alternative adaptive speech in noise test with a larger speech corpus. The study examined the relationships between the performance of hearing aid wearers on the HINT and the AEMT.To examine whether there was a difference in performance of hearing aid wearers on the HINT and the AEMT. A secondary purpose, given the AEMT’s steep performance-intensity function, was to determine whether the AEMT is more sensitive to changes in speech recognition resulting from directional (DIR) microphone processing in hearing aids.A repeated measures design was used in this study. Multiple measurements were made on each subject. Each measurement involved a different experimental condition.Ten adults with hearing loss participated in this study.All participants completed the AEMT and HINT, using adaptive and fixed test formats while wearing hearing aids. Speech recognition was assessed in two hearing aid microphone settings—omnidirectional and fixed DIR. All testing was conducted via sound field presentation. Performance on HINT and AEMT were systematically compared across all test conditions using a linear model with repeated measures.The results of this study revealed that adult hearing aid users perform differently on the HINT and AEMT, with adaptive AEMT testing yielding significantly better (more negative) thresholds than the HINT. Slopes of performance intensity functions obtained by testing at multiple fixed signal-to-noise ratios, revealed a somewhat steeper slope for the HINT compared with the AEMT. Despite this steeper slope, the benefit provided by DIR microphones was not significantly different between the two speech tests.The observation of similar DIR benefits of the HINT and AEMT suggests that the HINT and AEMT are equally sensitive to changes in speech recognition thresholds following intervention. Therefore, the decision to use the AEMT or the HINT will depend on the purpose of the study and/or the technology being investigated. Other test related factors such as available sentence corpus, learning effects and test time will also influence test selection.

scholarly journals Effects of Wireless Remote Microphone on Speech Recognition in Noise for Hearing Aid Users in China

2021 ◽  
Vol 15 ◽  
Author(s):  
Jing Chen ◽  
Zhe Wang ◽  
Ruijuan Dong ◽  
Xinxing Fu ◽  
Yuan Wang ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Hearing Aids ◽  
Signal To Noise Ratio ◽  
Hearing Aid ◽  
Recognition Performance ◽  
Speech In Noise ◽  
Hearing In Noise ◽  
Recognition Ability ◽  
Noise Test ◽  
Test Distance

Objective: This study was aimed at evaluating improvements in speech-in-noise recognition ability as measured by signal-to-noise ratio (SNR) with the use of wireless remote microphone technology. These microphones transmit digital signals via radio frequency directly to hearing aids and may be a valuable assistive listening device for the hearing-impaired population of Mandarin speakers in China.Methods: Twenty-three adults (aged 19–80 years old) and fourteen children (aged 8–17 years old) with bilateral sensorineural hearing loss were recruited. The Mandarin Hearing in Noise Test was used to test speech recognition ability in adult subjects, and the Mandarin Hearing in Noise Test for Children was used for children. The subjects’ perceived SNR was measured using sentence recognition ability at three different listening distances of 1.5, 3, and 6 m. At each distance, SNR was obtained under three device settings: hearing aid microphone alone, wireless remote microphone alone, and hearing aid microphone and wireless remote microphone simultaneously.Results: At each test distance, for both adult and pediatric groups, speech-in-noise recognition thresholds were significantly lower with the use of the wireless remote microphone in comparison with the hearing aid microphones alone (P &lt; 0.05), indicating better SNR performance with the wireless remote microphone. Moreover, when the wireless remote microphone was used, test distance had no effect on speech-in-noise recognition for either adults or children.Conclusion: Wireless remote microphone technology can significantly improve speech recognition performance in challenging listening environments for Mandarin speaking hearing aid users in China.

The Impact of Speech Recognition Testing on State Anxiety in Young, Middle-Age, and Older Adults

2020 ◽  
Vol 63 (8) ◽  
pp. 2789-2800
Author(s):  
Christina M. Roup ◽  
Donna E. Green ◽  
J. Riley DeBacker
Keyword(s):  
Older Adults ◽  
Speech Recognition ◽  
State Anxiety ◽  
Middle Age ◽  
Recognition Performance ◽  
State Trait Anxiety Inventory ◽  
Speech Perception In Noise ◽  
Speech In Noise ◽  
Noise Test ◽  
Recognition Testing

Purpose This study assessed state anxiety as a function of speech recognition testing using three clinical measures of speech in noise and one clinical measure of dichotic speech recognition. Method Thirty young adults, 30 middle-age adults, and 25 older adults participated. State anxiety was measured pre– and post–speech recognition testing using the State–Trait Anxiety Inventory. Speech recognition was measured with the Revised Speech Perception in Noise Test, the Quick Speech-in-Noise Test, the Words-in-Noise Test, and the Dichotic Digits Test (DDT). Results Speech recognition performance was as expected: Older adults performed significantly poorer on all measures as compared to the young adults and significantly poorer on the Revised Speech Perception in Noise Test, the Quick Speech-in-Noise Test, and the Words-in-Noise Test as compared to the middle-age adults. On average, State–Trait Anxiety Inventory scores increased posttesting, with the middle-age adults exhibiting significantly greater increases in state anxiety as compared to the young and older adults. Increases in state anxiety were significantly greater for the DDT relative to the speech-in-noise tests for the middle-age adults only. Poorer DDT recognition performance was associated with higher levels of state anxiety. Conclusions Increases in state anxiety were observed after speech-in-noise and dichotic listening testing for all groups, with significant increases seen for the young and middle-age adults. Although the exact mechanisms could not be determined, multiple factors likely influenced the observed increases in state anxiety, including task difficulty, individual proficiency, and age.

scholarly journals Sensory-Cognitive Interaction in the Neural Encoding of Speech in Noise: A Review

2010 ◽  
Vol 21 (09) ◽  
pp. 575-585 ◽  
Author(s):  
Samira Anderson ◽  
Nina Kraus
Keyword(s):  
Older Adults ◽  
Background Noise ◽  
Objective Assessment ◽  
Auditory Brainstem ◽  
Speech Sounds ◽  
Complex Sounds ◽  
Speech In Noise ◽  
Hearing In Noise ◽  
Brainstem Response ◽  
Noise Test

Background: Speech-in-noise (SIN) perception is one of the most complex tasks faced by listeners on a daily basis. Although listening in noise presents challenges for all listeners, background noise inordinately affects speech perception in older adults and in children with learning disabilities. Hearing thresholds are an important factor in SIN perception, but they are not the only factor. For successful comprehension, the listener must perceive and attend to relevant speech features, such as the pitch, timing, and timbre of the target speaker's voice. Here, we review recent studies linking SIN and brainstem processing of speech sounds. Purpose: To review recent work that has examined the ability of the auditory brainstem response to complex sounds (cABR), which reflects the nervous system's transcription of pitch, timing, and timbre, to be used as an objective neural index for hearing-in-noise abilities. Study Sample: We examined speech-evoked brainstem responses in a variety of populations, including children who are typically developing, children with language-based learning impairment, young adults, older adults, and auditory experts (i.e., musicians). Data Collection and Analysis: In a number of studies, we recorded brainstem responses in quiet and babble noise conditions to the speech syllable /da/ in all age groups, as well as in a variable condition in children in which /da/ was presented in the context of seven other speech sounds. We also measured speech-in-noise perception using the Hearing-in-Noise Test (HINT) and the Quick Speech-in-Noise Test (QuickSIN). Results: Children and adults with poor SIN perception have deficits in the subcortical spectrotemporal representation of speech, including low-frequency spectral magnitudes and the timing of transient response peaks. Furthermore, auditory expertise, as engendered by musical training, provides both behavioral and neural advantages for processing speech in noise. Conclusions: These results have implications for future assessment and management strategies for young and old populations whose primary complaint is difficulty hearing in background noise. The cABR provides a clinically applicable metric for objective assessment of individuals with SIN deficits, for determination of the biologic nature of disorders affecting SIN perception, for evaluation of appropriate hearing aid algorithms, and for monitoring the efficacy of auditory remediation and training.

scholarly journals Individual differences in the attentional modulation of the human auditory brainstem response to speech inform on speech-in-noise deficits

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Marina Saiz-Alía ◽  
Antonio Elia Forte ◽  
Tobias Reichenbach
Keyword(s):  
Auditory Brainstem Response ◽  
Background Noise ◽  
Auditory Brainstem ◽  
Normal Hearing ◽  
Auditory Brainstem Responses ◽  
Sensitivity Threshold ◽  
Attentional Modulation ◽  
Speech In Noise ◽  
Hearing Thresholds ◽  
Brainstem Response

Abstract People with normal hearing thresholds can nonetheless have difficulty with understanding speech in noisy backgrounds. The origins of such supra-threshold hearing deficits remain largely unclear. Previously we showed that the auditory brainstem response to running speech is modulated by selective attention, evidencing a subcortical mechanism that contributes to speech-in-noise comprehension. We observed, however, significant variation in the magnitude of the brainstem’s attentional modulation between the different volunteers. Here we show that this variability relates to the ability of the subjects to understand speech in background noise. In particular, we assessed 43 young human volunteers with normal hearing thresholds for their speech-in-noise comprehension. We also recorded their auditory brainstem responses to running speech when selectively attending to one of two competing voices. To control for potential peripheral hearing deficits, and in particular for cochlear synaptopathy, we further assessed noise exposure, the temporal sensitivity threshold, the middle-ear muscle reflex, and the auditory-brainstem response to clicks in various levels of background noise. These tests did not show evidence for cochlear synaptopathy amongst the volunteers. Furthermore, we found that only the attentional modulation of the brainstem response to speech was significantly related to speech-in-noise comprehension. Our results therefore evidence an impact of top-down modulation of brainstem activity on the variability in speech-in-noise comprehension amongst the subjects.

Auditory Processing Following Consecutive Right Temporal Lobe Resections: A Prospective Case Study

2013 ◽  
Vol 24 (07) ◽  
pp. 535-543 ◽  
Author(s):  
Stephanie Nagle ◽  
Frank E. Musiek ◽  
Eric H. Kossoff ◽  
George Jallo ◽  
Dana Boatman-Reich
Keyword(s):  
Speech Recognition ◽  
Temporal Lobe ◽  
Real World ◽  
Speech Processing ◽  
Auditory Processing ◽  
Background Noise ◽  
Superior Temporal Gyrus ◽  
Sound Recognition ◽  
Auditory Speech ◽  
The Right

Background: The role of the right temporal lobe in processing speech is not well understood. Although the left temporal lobe has long been recognized as critical for speech perception, there is growing evidence for right hemisphere involvement. To investigate whether the right temporal lobe is critical for auditory speech processing, we studied prospectively a normal-hearing patient who underwent consecutive right temporal lobe resections for treatment of medically intractable seizures. Purpose: To test the hypothesis that the right temporal lobe is critical for auditory speech processing. Research Design: We used a prospective, repeated-measure, single-case design. Auditory processing was evaluated using behavioral tests of speech recognition (words, sentences) under multiple listening conditions (e.g., quiet, background noise, etc.). Auditory processing of nonspeech sounds was measured by pitch pattern sequencing and environmental sound recognition tasks. Data Collection: Repeat behavioral testing was performed at four time points over a 2 yr period: before and after consecutive right temporal lobe resection surgeries. Results: Before surgery, the patient demonstrated normal speech recognition in quiet and under real-world listening conditions (background noise, filtered speech). After the initial right anterior temporal resection, speech recognition scores declined under adverse listening conditions, especially for the left ear, but remained largely within normal limits. Following resection of the right superior temporal gyrus 1 yr later, speech recognition in quiet and nonspeech sound processing (pitch patterns, environmental sounds) remained intact. However, speech recognition under adverse listening conditions was severely impaired. Conclusions: The right superior temporal gyrus appears to be critical for auditory processing of speech under real-world listening conditions.

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