scholarly journals How Linguistic Closure and Verbal Working Memory Relate to Speech Recognition in Noise—A Review

2013 ◽  
Vol 17 (2) ◽  
pp. 75-93 ◽  
Author(s):  
Jana Besser ◽  
Thomas Koelewijn ◽  
Adriana A. Zekveld ◽  
Sophia E. Kramer ◽  
Joost M. Festen
Keyword(s):  
Working Memory ◽  
Speech Recognition ◽  
Verbal Working Memory ◽  
Speech Recognition In Noise

Working Memory Capacity May Influence Perceived Effort during Aided Speech Recognition in Noise

2012 ◽  
Vol 23 (08) ◽  
pp. 577-589 ◽  
Author(s):  
Mary Rudner ◽  
Thomas Lunner ◽  
Thomas Behrens ◽  
Elisabet Sundewall Thorén ◽  
Jerker Rönnberg
Keyword(s):  
Working Memory ◽  
Hearing Loss ◽  
Speech Recognition ◽  
Hearing Aid ◽  
Recognition Performance ◽  
Cognitive Capacity ◽  
Subjective Ratings ◽  
Perceived Effort ◽  
Noise Type ◽  
Speech Recognition In Noise

Background: Recently there has been interest in using subjective ratings as a measure of perceived effort during speech recognition in noise. Perceived effort may be an indicator of cognitive load. Thus, subjective effort ratings during speech recognition in noise may covary both with signal-to-noise ratio (SNR) and individual cognitive capacity. Purpose: The present study investigated the relation between subjective ratings of the effort involved in listening to speech in noise, speech recognition performance, and individual working memory (WM) capacity in hearing impaired hearing aid users. Research Design: In two experiments, participants with hearing loss rated perceived effort during aided speech perception in noise. Noise type and SNR were manipulated in both experiments, and in the second experiment hearing aid compression release settings were also manipulated. Speech recognition performance was measured along with WM capacity. Study Sample: There were 46 participants in all with bilateral mild to moderate sloping hearing loss. In Experiment 1 there were 16 native Danish speakers (eight women and eight men) with a mean age of 63.5 yr (SD = 12.1) and average pure tone (PT) threshold of 47. 6 dB (SD = 9.8). In Experiment 2 there were 30 native Swedish speakers (19 women and 11 men) with a mean age of 70 yr (SD = 7.8) and average PT threshold of 45.8 dB (SD = 6.6). Data Collection and Analysis: A visual analog scale (VAS) was used for effort rating in both experiments. In Experiment 1, effort was rated at individually adapted SNRs while in Experiment 2 it was rated at fixed SNRs. Speech recognition in noise performance was measured using adaptive procedures in both experiments with Dantale II sentences in Experiment 1 and Hagerman sentences in Experiment 2. WM capacity was measured using a letter-monitoring task in Experiment 1 and the reading span task in Experiment 2. Results: In both experiments, there was a strong and significant relation between rated effort and SNR that was independent of individual WM capacity, whereas the relation between rated effort and noise type seemed to be influenced by individual WM capacity. Experiment 2 showed that hearing aid compression setting influenced rated effort. Conclusions: Subjective ratings of the effort involved in speech recognition in noise reflect SNRs, and individual cognitive capacity seems to influence relative rating of noise type.

The Impact of Music Training and Working Memory on Speech Recognition in Older Age

2021 ◽  
pp. 1-11
Author(s):  
Bruna S. Mussoi
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Speech Recognition ◽  
Digit Span ◽  
Memory Capacity ◽  
Small Sample ◽  
Music Training ◽  
Speech In Noise ◽  
Speech Recognition In Noise ◽  
The Impact

Purpose Music training has been proposed as a possible tool for auditory training in older adults, as it may improve both auditory and cognitive skills. However, the evidence to support such benefits is mixed. The goal of this study was to determine the differential effects of lifelong musical training and working memory on speech recognition in noise, in older adults. Method A total of 31 musicians and nonmusicians aged 65–78 years took part in this cross-sectional study. Participants had a normal pure-tone average, with most having high-frequency hearing loss. Working memory (memory capacity) was assessed with the backward Digit Span test, and speech recognition in noise was assessed with three clinical tests (Quick Speech in Noise, Hearing in Noise Test, and Revised Speech Perception in Noise). Results Findings from this sample of older adults indicate that neither music training nor working memory was associated with differences on the speech recognition in noise measures used in this study. Similarly, duration of music training was not associated with speech-in-noise recognition. Conclusions Results from this study do not support the hypothesis that lifelong music training benefits speech recognition in noise. Similarly, an effect of working memory (memory capacity) was not apparent. While these findings may be related to the relatively small sample size, results across previous studies that investigated these effects have also been mixed. Prospective randomized music training studies may be able to better control for variability in outcomes associated with pre-existing and music training factors, as well as to examine the differential impact of music training and working memory for speech-in-noise recognition in older adults.

scholarly journals Dynamic Relation Between Working Memory Capacity and Speech Recognition in Noise During the First 6 Months of Hearing Aid Use

2014 ◽  
Vol 18 ◽  
pp. 233121651455868 ◽  
Author(s):  
Elaine H. N. Ng ◽  
Elisabet Classon ◽  
Birgitta Larsby ◽  
Stig Arlinger ◽  
Thomas Lunner ◽  
...  
Keyword(s):  
Working Memory ◽  
Speech Recognition ◽  
Hearing Aid ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Dynamic Relation ◽  
Hearing Aid Use ◽  
Speech Recognition In Noise

scholarly journals Speech Recognition in Adults With Cochlear Implants: The Effects of Working Memory, Phonological Sensitivity, and Aging

2017 ◽  
Vol 60 (4) ◽  
pp. 1046-1061 ◽  
Author(s):  
Aaron C. Moberly ◽  
Michael S. Harris ◽  
Lauren Boyce ◽  
Susan Nittrouer
Keyword(s):  
Working Memory ◽  
Speech Recognition ◽  
Cochlear Implants ◽  
Serial Recall ◽  
Digit Span ◽  
Verbal Working Memory ◽  
Normal Hearing ◽  
Decision Task ◽  
Sentence Recognition ◽  
Phonological Sensitivity

Purpose Models of speech recognition suggest that “top-down” linguistic and cognitive functions, such as use of phonotactic constraints and working memory, facilitate recognition under conditions of degradation, such as in noise. The question addressed in this study was what happens to these functions when a listener who has experienced years of hearing loss obtains a cochlear implant. Method Thirty adults with cochlear implants and 30 age-matched controls with age-normal hearing underwent testing of verbal working memory using digit span and serial recall of words. Phonological capacities were assessed using a lexical decision task and nonword repetition. Recognition of words in sentences in speech-shaped noise was measured. Results Implant users had only slightly poorer working memory accuracy than did controls and only on serial recall of words; however, phonological sensitivity was highly impaired. Working memory did not facilitate speech recognition in noise for either group. Phonological sensitivity predicted sentence recognition for implant users but not for listeners with normal hearing. Conclusion Clinical speech recognition outcomes for adult implant users relate to the ability of these users to process phonological information. Results suggest that phonological capacities may serve as potential clinical targets through rehabilitative training. Such novel interventions may be particularly helpful for older adult implant users.

scholarly journals Working Memory and Speech Recognition in Noise Under Ecologically Relevant Listening Conditions: Effects of Visual Cues and Noise Type Among Adults With Hearing Loss

2017 ◽  
Vol 60 (8) ◽  
pp. 2310-2320 ◽  
Author(s):  
Christi W. Miller ◽  
Erin K. Stewart ◽  
Yu-Hsiang Wu ◽  
Christopher Bishop ◽  
Ruth A. Bentler ◽  
...  
Keyword(s):  
Working Memory ◽  
Hearing Loss ◽  
Speech Recognition ◽  
Hearing Aids ◽  
Visual Cues ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Auditory Recognition ◽  
Noise Type ◽  
Speech Recognition In Noise

Purpose This study evaluated the relationship between working memory (WM) and speech recognition in noise with different noise types as well as in the presence of visual cues. Method Seventy-six adults with bilateral, mild to moderately severe sensorineural hearing loss (mean age: 69 years) participated. Using a cross-sectional design, 2 measures of WM were taken: a reading span measure, and Word Auditory Recognition and Recall Measure (Smith, Pichora-Fuller, & Alexander, 2016). Speech recognition was measured with the Multi-Modal Lexical Sentence Test for Adults (Kirk et al., 2012) in steady-state noise and 4-talker babble, with and without visual cues. Testing was under unaided conditions. Results A linear mixed model revealed visual cues and pure-tone average as the only significant predictors of Multi-Modal Lexical Sentence Test outcomes. Neither WM measure nor noise type showed a significant effect. Conclusion The contribution of WM in explaining unaided speech recognition in noise was negligible and not influenced by noise type or visual cues. We anticipate that with audibility partially restored by hearing aids, the effects of WM will increase. For clinical practice to be affected, more significant effect sizes are needed.

scholarly journals Relating Working Memory to Compression Parameters in Clinically Fit Hearing Aids

2014 ◽  
Vol 23 (4) ◽  
pp. 394-401 ◽  
Author(s):  
Pamela E. Souza ◽  
Lynn Sirow
Keyword(s):  
Working Memory ◽  
Hearing Loss ◽  
Speech Recognition ◽  
Hearing Aids ◽  
Reading Span ◽  
Laboratory Studies ◽  
Compression Speed ◽  
Speech Recognition In Noise ◽  
The Relationship ◽  
Fast Acting

Purpose Several laboratory studies have demonstrated that working memory may influence response to compression speed in controlled (i.e., laboratory) comparisons of compression. In this study, the authors explored whether the same relationship would occur under less controlled conditions, as might occur in a typical audiology clinic. Method Participants included 27 older adults who sought hearing care in a private practice audiology clinic. Working memory was measured for each participant using a reading span test. The authors examined the relationship between working memory and aided speech recognition in noise, using clinically fit hearing aids with a range of compression speeds. Results Working memory, amount of hearing loss, and age each contributed to speech recognition, but the contribution depended on the speed of the compression processor. For fast-acting compression, the best performance was obtained by patients with high working memory. For slow-acting compression, speech recognition was affected by age and amount of hearing loss but was not affected by working memory. Conclusions Despite the expectation of greater variability from differences in compression implementation, number of compression channels, or attendant signal processing, the relationship between working memory and compression speed showed a similar pattern as results from more controlled, laboratory-based studies.

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