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

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 an Adaptive Filter Hearing Aid on Speech Recognition in Noise by Hearing-Impaired Subjects

1988 ◽  
Vol 9 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Dianne J. Van Tasell ◽  
Sveinar Y. Larsen ◽  
David A. Fabry
Keyword(s):  
Speech Recognition ◽  
Adaptive Filter ◽  
Hearing Aid ◽  
Hearing Impaired ◽  
Speech Recognition In Noise

scholarly journals An algorithm to improve speech recognition in noise for hearing-impaired listeners

2013 ◽  
Vol 134 (4) ◽  
pp. 3029-3038 ◽  
Author(s):  
Eric W. Healy ◽  
Sarah E. Yoho ◽  
Yuxuan Wang ◽  
DeLiang Wang
Keyword(s):  
Speech Recognition ◽  
Hearing Impaired ◽  
Speech Recognition In Noise

Analysis of Correlation between Cognitive Function and Speech Recognition in Noise

2010 ◽  
Vol 53 (4) ◽  
pp. 215 ◽  
Author(s):  
Seong Jun Song ◽  
Hyun Joon Shim ◽  
Chul Ho Park ◽  
Seong Hee Lee ◽  
Sang Won Yoon
Keyword(s):  
Speech Recognition ◽  
Cognitive Function ◽  
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.

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