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CrossRef Text and Data Mining |
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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 |
Prediction of Software-Based Sentence-in-Noise Recognition Thresholds of Hearing-Impaired Listeners Sentence Recognition Prediction for Hearing-impaired Listeners in Stationary and Fluctuation Noise With FADE Benefits from Spatial Separation and Fluctuating Masker on Sentence-in-Noise Recognition in Normal-Hearing and Hearing-Impaired Listeners Factors Affecting Sentence-in-Noise Recognition for Normal Hearing Listeners and Listeners with Hearing Loss Abnormal intelligibility of speech in competing speech and in noise in a frequency region where audiometric thresholds are near-normal for hearing-impaired listeners Timbre discrimination in normal-hearing and hearing-impaired listeners under different noise conditions Word and Sentence Recognition Scores and Sound
Qualities of Normal and Hearing-Impaired Listeners in
Wide and Narrow Band Telephone Speech On the Pitch Strength of Bandpass Noise in Normal-Hearing and Hearing-Impaired Listeners Temporal envelope expansion of speech in noise for normal-hearing and hearing-impaired listeners: effects on identification performance and response times Native and Non-native Speech Perception by Hearing-Impaired Listeners in Noise- and Speech Maskers |