Speech recognition and the Articulation Index for normal and hearing‐ impaired listeners

1985 ◽  
Vol 77 (1) ◽  
pp. 281-288 ◽  
Author(s):  
Candace A. Kamm ◽  
Donald D. Dirks ◽  
Theodore S. Bell
Keyword(s):  
Speech Recognition ◽  
Hearing Impaired ◽  
Articulation Index

scholarly journals Multitasking with typical use of hearing aid noise reduction in older listeners

2018 ◽  
Author(s):  
Tim Schoof ◽  
Pamela Souza
Keyword(s):  
Speech Recognition ◽  
Noise Reduction ◽  
Hearing Aids ◽  
Recognition Task ◽  
Hearing Impaired ◽  
Improve Performance ◽  
Sentence Recognition ◽  
Monitoring Task ◽  
Speech In Noise ◽  
Dual Task Paradigm

Objective: Older hearing-impaired adults typically experience difficulties understanding speech in noise. Most hearing aids address this issue using digital noise reduction. While noise reduction does not necessarily improve speech recognition, it may reduce the resources required to process the speech signal. Those available resources may, in turn, aid the ability to perform another task while listening to speech (i.e., multitasking). This study examined to what extent changing the strength of digital noise reduction in hearing aids affects the ability to multitask. Design: Multitasking was measured using a dual-task paradigm, combining a speech recognition task and a visual monitoring task. The speech recognition task involved sentence recognition in the presence of six-talker babble at signal-to-noise ratios (SNRs) of 2 and 7 dB. Participants were fit with commercially-available hearing aids programmed under three noise reduction settings: off, mild, strong. Study sample: 18 hearing-impaired older adults. Results: There were no effects of noise reduction on the ability to multitask, or on the ability to recognize speech in noise. Conclusions: Adjustment of noise reduction settings in the clinic may not invariably improve performance for some tasks.

Evaluation of an Articulation-Index Based Model for Predicting the Effects of Adaptive Frequency Response Hearing Aids

1990 ◽  
Vol 33 (4) ◽  
pp. 676-689 ◽  
Author(s):  
David A. Fabry ◽  
Dianne J. Van Tasell
Keyword(s):  
Transfer Function ◽  
Frequency Response ◽  
Hearing Aids ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Hearing Aid ◽  
Hearing Impaired ◽  
Articulation Index ◽  
Intelligibility Ratings ◽  
High Pass

The Articulation Index (AI) was used to evaluate an “adaptive frequency response” (AFR) hearing aid with amplification characteristics that automatically change to become more high-pass with increasing levels of background noise. Speech intelligibility ratings of connected discourse by normal-hearing subjects were predicted well by an empirically derived AI transfer function. That transfer function was used to predict aided speech intelligibility ratings by 12 hearing-impaired subjects wearing a master hearing aid with the Argosy Manhattan Circuit enabled (AFR-on) or disabled (AFR-off). For all subjects, the AI predicted no improvements in speech intelligibility for the AFR-on versus AFR-off condition, and no significant improvements in rated intelligibility were observed. The ability of the AI to predict aided speech intelligibility varied across subjects. However, ratings from every hearing-impaired subject were related monotonically to AI. Therefore, AI calculations may be used to predict relative—but not absolute—levels of speech intelligibility produced under different amplification conditions.

Speech recognition of normal‐hearing and hearing‐impaired listeners in amplitude‐modulated noise

1994 ◽  
Vol 95 (5) ◽  
pp. 2992-2993
Author(s):  
Laurie S. Eisenberg ◽  
Donald D. Dirks ◽  
Theodore S. Bell
Keyword(s):  
Speech Recognition ◽  
Normal Hearing ◽  
Hearing Impaired

An algorithm to improve speech recognition in noise for hearing-impaired listeners: Consonant identification and articulatory feature transmission

2014 ◽  
Vol 135 (4) ◽  
pp. 2412-2412 ◽  
Author(s):  
Eric W. Healy ◽  
Sarah E. Yoho ◽  
Yuxuan Wang ◽  
Frederic Apoux ◽  
Carla L. Youngdahl ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Hearing Impaired ◽  
Speech Recognition In Noise
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