Evaluation of Auditory Enhancement and Auditory Suppression in Listeners With Normal Hearing and Reduced Speech Recognition in Noise

1996 ◽  
Vol 39 (5) ◽  
pp. 947-956 ◽  
Author(s):  
Linda M. Thibodeau
Keyword(s):  
Speech Recognition ◽  
Auditory Processing ◽  
Normal Hearing ◽  
Forward Masking ◽  
Auditory Enhancement ◽  
Auditory Suppression ◽  
Speech Recognition In Noise ◽  
Number Of Individuals ◽  
Normal Speech

A number of individuals complain of difficulties with speech recognition in noise in spite of normal hearing. This has prompted a search for disruptions in other areas of auditory processing that may account for these deficits. Two processes that may be related to speech recognition, auditory suppression and auditory enhancement, were evaluated in five listeners with normal speech recognition in noise (NSRN) and five listeners with reduced speech recognition in noise (RSRN). Although differences between the two groups were not observed for enhanced forward masking, significant differences were observed in two-tone suppression when the duration of the suppressor was varied. Those with RSRN showed greater suppression than those with NSRN when the suppressor onset preceded the masker onset.

Fitting and Verification of Frequency Modulation Systems on Children with Normal Hearing

2014 ◽  
Vol 25 (06) ◽  
pp. 529-540 ◽  
Author(s):  
Erin C. Schafer ◽  
Danielle Bryant ◽  
Katie Sanders ◽  
Nicole Baldus ◽  
Katherine Algier ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Frequency Modulation ◽  
Auditory Processing ◽  
Signal To Noise Ratio ◽  
Recognition Performance ◽  
Normal Hearing ◽  
Signal To Noise ◽  
The Real ◽  
Hearing Sensitivity ◽  
Speech Recognition In Noise

Background: Several recent investigations support the use of frequency modulation (FM) systems in children with normal hearing and auditory processing or listening disorders such as those diagnosed with auditory processing disorders, autism spectrum disorders, attention-deficit hyperactivity disorder, Friedreich ataxia, and dyslexia. The American Academy of Audiology (AAA) published suggested procedures, but these guidelines do not cite research evidence to support the validity of the recommended procedures for fitting and verifying nonoccluding open-ear FM systems on children with normal hearing. Documenting the validity of these fitting procedures is critical to maximize the potential FM-system benefit in the abovementioned populations of children with normal hearing and those with auditory-listening problems. Purpose: The primary goal of this investigation was to determine the validity of the AAA real-ear approach to fitting FM systems on children with normal hearing. The secondary goal of this study was to examine speech-recognition performance in noise and loudness ratings without and with FM systems in children with normal hearing sensitivity. Research Design: A two-group, cross-sectional design was used in the present study. Study Sample: Twenty-six typically functioning children, ages 5–12 yr, with normal hearing sensitivity participated in the study. Intervention: Participants used a nonoccluding open-ear FM receiver during laboratory-based testing. Data Collection and Analysis: Participants completed three laboratory tests: (1) real-ear measures, (2) speech recognition performance in noise, and (3) loudness ratings. Four real-ear measures were conducted to (1) verify that measured output met prescribed-gain targets across the 1000–4000 Hz frequency range for speech stimuli, (2) confirm that the FM-receiver volume did not exceed predicted uncomfortable loudness levels, and (3 and 4) measure changes to the real-ear unaided response when placing the FM receiver in the child’s ear. After completion of the fitting, speech recognition in noise at a –5 signal-to-noise ratio and loudness ratings at a +5 signal-to-noise ratio were measured in four conditions: (1) no FM system, (2) FM receiver on the right ear, (3) FM receiver on the left ear, and (4) bilateral FM system. Results: The results of this study suggested that the slightly modified AAA real-ear measurement procedures resulted in a valid fitting of one FM system on children with normal hearing. On average, prescriptive targets were met for 1000, 2000, 3000, and 4000 Hz within 3 dB, and maximum output of the FM system never exceeded and was significantly lower than predicted uncomfortable loudness levels for the children. There was a minimal change in the real-ear unaided response when the open-ear FM receiver was placed into the ear. Use of the FM system on one or both ears resulted in significantly better speech recognition in noise relative to a no-FM condition, and the unilateral and bilateral FM receivers resulted in a comfortably loud signal when listening in background noise. Conclusions: Real-ear measures are critical for obtaining an appropriate fit of an FM system on children with normal hearing.

scholarly journals Speech Recognition in Noise for Adults With Normal Hearing

2018 ◽  
Vol 39 (10) ◽  
pp. e972-e978 ◽  
Author(s):  
Jourdan T. Holder ◽  
Laura M. Levin ◽  
René H. Gifford
Keyword(s):  
Speech Recognition ◽  
Normal Hearing ◽  
Speech Recognition In Noise

scholarly journals Tinnitus impairs segregation of competing speech in normal-hearing listeners

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yang Wenyi Liu ◽  
Bing Wang ◽  
Bing Chen ◽  
John J. Galvin ◽  
Qian-Jie Fu
Keyword(s):  
Sex Differences ◽  
Speech Recognition ◽  
Auditory Processing ◽  
Normal Hearing ◽  
Central Auditory Processing ◽  
Informational Masking ◽  
Spatial Cues ◽  
Processing Resources ◽  
Lexical Interference ◽  
Competing Speech

AbstractMany tinnitus patients report difficulties understanding speech in noise or competing talkers, despite having “normal” hearing in terms of audiometric thresholds. The interference caused by tinnitus is more likely central in origin. Release from informational masking (more central in origin) produced by competing speech may further illuminate central interference due to tinnitus. In the present study, masked speech understanding was measured in normal hearing listeners with or without tinnitus. Speech recognition thresholds were measured for target speech in the presence of multi-talker babble or competing speech. For competing speech, speech recognition thresholds were measured for different cue conditions (i.e., with and without target-masker sex differences and/or with and without spatial cues). The present data suggest that tinnitus negatively affected masked speech recognition even in individuals with no measurable hearing loss. Tinnitus severity appeared to especially limit listeners’ ability to segregate competing speech using talker sex differences. The data suggest that increased informational masking via lexical interference may tax tinnitus patients’ central auditory processing resources.

Suprathreshold auditory processing and speech recognition in noise for hearing‐impaired listeners.

2010 ◽  
Vol 127 (3) ◽  
pp. 1903-1903
Author(s):  
Van Summers ◽  
Joshua G. W. Bernstein ◽  
Matthew J. Makashay ◽  
Golbarg Mehraei ◽  
Sarah Melamed ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Auditory Processing ◽  
Hearing Impaired ◽  
Speech Recognition In Noise

Effects of High-Frequency Suppression for Speech Recognition in Noise in Spanish Normal-Hearing Subjects

2015 ◽  
Vol 36 (4) ◽  
pp. 720-726 ◽  
Author(s):  
Ángel Ramos de Miguel ◽  
María Teresa Pérez Zaballos ◽  
Ángel Ramos Macías ◽  
Silvia Andrea Borkoski Barreiro ◽  
Juan Carlos Falcón González ◽  
...  
Keyword(s):  
Speech Recognition ◽  
High Frequency ◽  
Normal Hearing ◽  
Speech Recognition In Noise

Suprathreshold Auditory Processing and Speech Perception in Noise: Hearing-Impaired and Normal-Hearing Listeners

2013 ◽  
Vol 24 (04) ◽  
pp. 274-292 ◽  
Author(s):  
Van Summers ◽  
Matthew J. Makashay ◽  
Sarah M. Theodoroff ◽  
Marjorie R. Leek
Keyword(s):  
Steady State ◽  
Speech Recognition ◽  
Auditory Processing ◽  
High Frequency ◽  
Normal Hearing ◽  
Detection Task ◽  
Frequency Selectivity ◽  
Hearing Impaired ◽  
Signal To Noise ◽  
Peripheral Compression

Background: It is widely believed that suprathreshold distortions in auditory processing contribute to the speech recognition deficits experienced by hearing-impaired (HI) listeners in noise. Damage to outer hair cells and attendant reductions in peripheral compression and frequency selectivity may contribute to these deficits. In addition, reduced access to temporal fine structure (TFS) information in the speech waveform may play a role. Purpose: To examine how measures of peripheral compression, frequency selectivity, and TFS sensitivity relate to speech recognition performance by HI listeners. To determine whether distortions in processing reflected by these psychoacoustic measures are more closely associated with speech deficits in steady-state or modulated noise. Research Design: Normal-hearing (NH) and HI listeners were tested on tasks examining frequency selectivity (notched-noise task), peripheral compression (temporal masking curve task), and sensitivity to TFS information (frequency modulation [FM] detection task) in the presence of random amplitude modulation. Performance was tested at 500, 1000, 2000, and 4000 Hz at several presentation levels. The same listeners were tested on sentence recognition in steady-state and modulated noise at several signal-to-noise ratios. Study Sample: Ten NH and 18 HI listeners were tested. NH listeners ranged in age from 36 to 80 yr (M = 57.6). For HI listeners, ages ranged from 58 to 87 yr (M = 71.8). Results: Scores on the FM detection task at 1 and 2 kHz were significantly correlated with speech scores in both noise conditions. Frequency selectivity and compression measures were not as clearly associated with speech performance. Speech Intelligibility Index (SII) analyses indicated only small differences in speech audibility across subjects for each signal-to-noise ratio (SNR) condition that would predict differences in speech scores no greater than 10% at a given SNR. Actual speech scores varied by as much as 80% across subjects. Conclusions: The results suggest that distorted processing of audible speech cues was a primary factor accounting for differences in speech scores across subjects and that reduced ability to use TFS cues may be an important component of this distortion. The influence of TFS cues on speech scores was comparable in steady-state and modulated noise. Speech recognition was not related to audibility, represented by the SII, once high-frequency sensitivity differences across subjects (beginning at 5 kHz) were removed statistically. This might indicate that high-frequency hearing loss is associated with distortions in processing in lower-frequency regions.

List Equivalency of the AzBio Sentence Test in Noise for Listeners with Normal-Hearing Sensitivity or Cochlear Implants

2012 ◽  
Vol 23 (07) ◽  
pp. 501-509 ◽  
Author(s):  
Erin C. Schafer ◽  
Jody Pogue ◽  
Tyler Milrany
Keyword(s):  
Speech Recognition ◽  
Cochlear Implants ◽  
Repeated Measures ◽  
Normative Data ◽  
Normal Hearing ◽  
Published Data ◽  
Repeated Measures Design ◽  
Published Evidence ◽  
Starting Point ◽  
Speech Recognition In Noise

Background: Speech recognition abilities of adults and children using cochlear implants (CIs) are significantly degraded in the presence of background noise, making this an important area of study and assessment by CI manufacturers, researchers, and audiologists. However, at this time there are a limited number of fixed-intensity sentence recognition tests available that also have multiple, equally intelligible lists in noise. One measure of speech recognition, the AzBio Sentence Test, provides 10-talker babble on the commercially available compact disc; however, there is no published evidence to support equivalency of the 15-sentence lists in noise for listeners with normal hearing (NH) or CIs. Furthermore, there is limited or no published data on the reliability, validity, and normative data for this test in noise for listeners with CIs or NH. Purpose: The primary goals of this study were to examine the equivalency of the AzBio Sentence Test lists at two signal-to-noise ratios (SNRs) in participants with NH and at one SNR for participants with CIs. Analyses were also conducted to establish the reliability, validity, and preliminary normative data for the AzBio Sentence Test for listeners with NH and CIs. Research Design: A cross-sectional, repeated measures design was used to assess speech recognition in noise for participants with NH or CIs. Study Sample: The sample included 14 adults with NH and 12 adults or adolescents with Cochlear Freedom CI sound processors. Participants were recruited from the University of North Texas clinic population or from local CI centers. Data Collection and Analysis: Speech recognition was assessed using the 15 lists of the AzBio Sentence Test and the 10-talker babble. With the intensity of the sentences fixed at 73 dB SPL, listeners with NH were tested at 0 and −3 dB SNRs, and participants with CIs were tested at a +10 dB SNR. Repeated measures analysis of variance (ANOVA) was used to analyze the data. Results: The primary analyses revealed significant differences in performance across the 15 lists on the AzBio Sentence Test for listeners with NH and CIs. However, a follow-up analysis revealed no significant differences in performance across 10 of the 15 lists. Using the 10, equally-intelligible lists, a comparison of speech recognition performance across the two groups suggested similar performance between NH participants at a −3 dB SNR and the CI users at a +10 SNR. Several additional analyses were conducted to support the reliability and validity of the 10 equally intelligible AzBio sentence lists in noise, and preliminary normative data were provided. Conclusions: Ten lists of the commercial version of the AzBio Sentence Test may be used as a reliable and valid measure of speech recognition in noise in listeners with NH or CIs. The equivalent lists may be used for a variety of purposes including audiological evaluations, determination of CI candidacy, hearing aid and CI programming considerations, research, and recommendations for hearing assistive technology. In addition, the preliminary normative data provided in this study establishes a starting point for the creation of comprehensive normative data for the AzBio Sentence Test.

Speech Recognition in Multitalker Babble Using Digits, Words, and Sentences

2005 ◽  
Vol 16 (09) ◽  
pp. 726-739 ◽  
Author(s):  
Rachel A. McArdle ◽  
Richard H. Wilson ◽  
Christopher A. Burks
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Mixed Model ◽  
Recognition Performance ◽  
Normal Hearing ◽  
Linguistic Complexity ◽  
Item Questionnaire ◽  
The Mean ◽  
Speech Recognition In Noise ◽  
Better Than

The purpose of this mixed model design was to examine recognition performance differences when measuring speech recognition in multitalker babble on listeners with normal hearing (n = 36) and listeners with hearing loss (n = 72) utilizing stimulus of varying linguistic complexity (digits, words, and sentence materials). All listeners were administered two trials of two lists of each material in a descending speech-to-babble ratio. For each of the materials, recognition performances by the listeners with normal hearing were significantly better than the performances by the listeners with hearing loss. The mean separation between groups at the 50% point in signal-to-babble ratio on each of the three materials was ~8 dB. The 50% points for digits were obtained at a significantly lower signal-to-babble ratio than for sentences or words that were equivalent. There were no interlist differences between the two lists for the digits and words, but there was a significant disparity between QuickSIN™ lists for the listeners with hearing loss. A two-item questionnaire was used to obtain a subjective measurement of speech recognition, which showed moderate correlations with objective measures of speech recognition in noise using digits (r = .641), sentences (r = .572), and words (r = .673).

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