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Emma Holmes on Muck Rack

Emma Holmes

London
As seen in: Color Research & Application, Nature, Wiley Online Library, BioRxiv, MamaMia, Canadian Medical Association Journal, Mechanicsville Local
Associate Professor in Speech and Hearing Sciences at UCL & Principal Investigator of the UCL Cognitive Hearing Lab. She/her
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Articles

What's Your Diagnosis? Dog With a Laryngeal Mass

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By Benjamin Haythornthwaite, Dylan Yaffy, Emma Holmes
| Wiley Online Library Verified
1 Case Presentation An 8-year, 3-month-old female, entire Boxer dog presented to the Queen Mother Hospital for Animals (QMHA), Royal Veterinary College (RVC) for evaluation of increased upper airway noise and dysphagia. A laryngeal mass had been identified by the referring veterinarian 5 months previously while the dog was undergoing general anesthetic for removal of oral masses (confirmed as peripheral odontogenic fibromas). At this time, no clinical signs were associated with the mass.
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Spatial selective auditory attention is preserved in older age but is degraded by peripheral hearing loss - Scientific Reports

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By Andrea Caso, Timothy D. Griffiths, Emma Holmes
| Nature Verified
Abstract Interest in how ageing affects attention is long-standing, although interactions between sensory and attentional processing in older age are not fully understood. Here, we examined interactions between peripheral hearing and selective attention in a spatialised cocktail party listening paradigm, in which three talkers spoke different sentences simultaneously and participants were asked to report the sentence spoken by a talker at a particular location.
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Predicting speech-in-noise ability with static and dynamic auditory figure-ground analysis using structural equation modelling

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By Xiaoxuan Guo, Ester Benzaquén, Emma Holmes, Joel Berger
| BioRxiv
Abstract Auditory figure-ground paradigms assess the ability to extract a foreground figure from a random background, a crucial part of central hearing. Previous studies have shown that the ability to extract static figures (with fixed frequencies) predicts real-life listening: speech-in-noise ability. In this study we assessed both fixed and dynamic figures: the latter comprised component frequencies that vary over time like natural speech.
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