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Prediction of Software-Based Sentence-in-Noise Recognition Thresholds of Hearing-Impaired Listeners
Gwang Min Kim, Jae Hee Lee
Audiology and Speech Research. 2020;16(2):140-146.   Published online 2020 April 30    DOI: http://doi.org/10.21848/asr.200015

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Prediction of Software-Based Sentence-in-Noise Recognition Thresholds of Hearing-Impaired Listeners
Audiology and Speech Research. 2020;16(2):140-146   
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Sentence Recognition Prediction for Hearing-impaired Listeners in Stationary and Fluctuation Noise With FADE
Trends in Hearing. 2016;20:233121651665579   
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Factors Affecting Sentence-in-Noise Recognition for Normal Hearing Listeners and Listeners with Hearing Loss
Journal of Audiology and Otology. 2017;21(2):81-87   
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Abnormal intelligibility of speech in competing speech and in noise in a frequency region where audiometric thresholds are near-normal for hearing-impaired listeners
Hearing Research. 2014;316:102-109   
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Timbre discrimination in normal-hearing and hearing-impaired listeners under different noise conditions
Brain Research. 2008;1220:199-207   
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Word and Sentence Recognition Scores and Sound Qualities of Normal and Hearing-Impaired Listeners in Wide and Narrow Band Telephone Speech
Audiology and Speech Research. 2014;10(1):43-52   
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Temporal envelope expansion of speech in noise for normal-hearing and hearing-impaired listeners: effects on identification performance and response times
Hearing Research. 2001;153(1-2):123-131   
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On the Pitch Strength of Bandpass Noise in Normal-Hearing and Hearing-Impaired Listeners
Trends in Hearing. 2018;22:233121651878706   
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Native and Non-native Speech Perception by Hearing-Impaired Listeners in Noise- and Speech Maskers
Trends in Hearing. 2015;19:233121651557912   
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The Function of Sentence Accents and Given/New Information in Speech Processing: Different Strategies for Normal-Hearing and Hearing-Impaired Listeners?
Language and Speech. 1994;37(4):375-391   
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