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Real-world noise comprises a large range of acoustic properties that vary randomly and rapidly between and within environments, making quantifying real-world noise and using it in experiments and clinical tests challenging. One approach is to use acoustic features and statistics to quantify acoustic properties of real-world noise and control for them or measure their relationship to listening performance. In this study, the complexity of real-world noise from different environments was quantified using entropy in both the time- and frequency-domains. A distribution of noise segments from low to high entropy were extracted. Using a trial-by-trial design, listeners with normal hearing and hearing loss (in aided and unaided conditions) repeated back sentences embedded in these noise segments. Entropy significantly affected speech perception, with a larger effect of entropy in the time-domain than the frequency-domain, a larger effect for listeners with normal hearing than for listeners with hearing loss, and a larger effect for listeners with hearing loss in the aided than unaided condition. Speech perception also differed between most environment types. Combining entropy with the environment type improved predictions of speech perception above the environment type alone.<\/jats:p>","DOI":"10.1121\/10.0022577","type":"journal-article","created":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T15:29:01Z","timestamp":1701790141000},"page":"3627-3643","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":9,"title":["Effects of entropy in real-world noise on speech perception in listeners with normal hearing and hearing loss"],"prefix":"10.1121","volume":"154","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6136-8904","authenticated-orcid":false,"given":"Erik","family":"Jorgensen","sequence":"first","affiliation":[{"name":"Department of Communication Sciences and Disorders University of Wisconsin-Madison 1 , Madison, Wisconsin 53706, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8319-583X","authenticated-orcid":false,"given":"Yu-Hsiang","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Communication Sciences and Disorders, University of Iowa 2 , Iowa City, Iowa 52242, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","published-online":{"date-parts":[[2023,12,5]]},"reference":[{"key":"2023120515285148100_c1","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/S0167-6393(02)00087-0","article-title":"Speech\/music segmentation using entropy and dynamism features in a HMM classification framework","volume":"40","year":"2003","journal-title":"Speech Commun."},{"key":"2023120515285148100_c2","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1121\/10.0013874","article-title":"Adding noise is a confounded nuisance","volume":"152","year":"2022","journal-title":"J. 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