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A Trainable Hearing Aid Algorithm Reflecting Individual Preferences for Degree of Noise-Suppression, Input Sound Level, and Listening Situation
Sung Hoon Yoon, Kyoung Won Nam, Sunhyun Yook, Baek Hwan Cho, Dong Pyo Jang, Sung Hwa Hong, In Young Kim
Clinical and Experimental Otorhinolaryngology. 2017;10(1):56-65.   Published online 2016 August 10    DOI: https://doi.org/10.21053/ceo.2015.01690

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A Trainable Hearing Aid Algorithm Reflecting Individual Preferences for Degree of Noise-Suppression, Input Sound Level, and Listening Situation
Clinical and Experimental Otorhinolaryngology. 2017;10(1):56-65   Crossref logo
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An Environment-Adaptive Management Algorithm for Hearing-Support Devices Incorporating Listening Situation and Noise Type Classifiers
Artificial Organs. 2014;39(4):361-368   Crossref logo
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HEARING AID WITH NOISE-LEVEL-CONTROLLED SELECTIVE AMPLIFICATION
The Lancet. 1981;318(8258):1286-1287   Crossref logo
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Utilizing hearing aid directional microphones and noise reduction algorithms to improve speech understanding and listening preferences for cochlear implant users
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Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners
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Design considerations for active noise control systems implementing the multiple input, multiple output lms algorithm
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Noise-induced threshold elevation as a function of peak sound pressure level
Hearing Research. 1990;46(1-2):161-169   Crossref logo
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Hearing level of young subjects exposed to gunfire noise
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Minimal Input Models for Sound Level and Reverberation Time Prediction in Enclosed Spaces
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Subjective Listening Effort and Electrodermal Activity in Listening Situations with Reverberation and Noise
Trends in Hearing. 2016;20:233121651666773   Crossref logo
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