ArticleThe Journal of the Acoustical Society of America2023
Effects of entropy in real-world noise on speech perception in listeners with normal hearing and hearing lossa).
Article in The Journal of the Acoustical Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Advances and prospects of 3D air-liquid interface cultured middle ear epithelial cells and inner ear organoids in otologic diseases.Frontiers in bioengineering and biotechnology · 2026Review
- Voice-Evoked Color Prediction Using Deep Neural Networks in Sound-Color Synesthesia.Brain sciences · 2025Article
- Examining sound levels across different time scales measured from body-worn dosimeters.The Journal of the Acoustical Society of America · 2025Article
- Unaided and Aided Speech Intelligibility in a Real and Virtual Acoustic Environment.Trends in hearingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
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Abstract
Hearing aids show more benefit in traditional laboratory speech-in-noise tests than in real-world noisy environments. 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.
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Registered trials
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