Evidence map›Paper›PMID 35432072›Full record

ArticleFrontiers in psychology2022

Lexical Effects on the Perceived Clarity of Noise-Vocoded Speech in Younger and Older Listeners.

Terrin N Tamati, Victoria A Sevich, Emily M Clausing, Aaron C Moberly

Abstract read
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Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  3. How do Patient Comorbidities Influence Adult Cochlear Implant Outcomes?Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Terrin N TamatiDepartment of Otolaryngology - Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Victoria A SevichDepartment of Speech and Hearing Science, The Ohio State University, Columbus, OH, United States.
Emily M ClausingDepartment of Otolaryngology - Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Aaron C MoberlyDepartment of Otolaryngology - Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States.

Funding

Variability in Speech Recognition for Adults with Cochlear Implants: Bottom-up and Top-down FactorsK23DC015539 · NIDCD · OHIO STATE UNIVERSITY · PI MOBERLY, AARON C · 2017 to 2021
$934k
NIDCD NIH HHS K23 DC015539
6 · The paper itself

Abstract

When listening to degraded speech, such as speech delivered by a cochlear implant (CI), listeners make use of top-down linguistic knowledge to facilitate speech recognition. Lexical knowledge supports speech recognition and enhances the perceived clarity of speech. Yet, the extent to which lexical knowledge can be used to effectively compensate for degraded input may depend on the degree of degradation and the listener's age. The current study investigated lexical effects in the compensation for speech that was degraded via noise-vocoding in younger and older listeners. In an online experiment, younger and older normal-hearing (NH) listeners rated the clarity of noise-vocoded sentences on a scale from 1 ("very unclear") to 7 ("completely clear"). Lexical information was provided by matching text primes and the lexical content of the target utterance. Half of the sentences were preceded by a matching text prime, while half were preceded by a non-matching prime. Each sentence also consisted of three key words of high or low lexical frequency and neighborhood density. Sentences were processed to simulate CI hearing, using an eight-channel noise vocoder with varying filter slopes. Results showed that lexical information impacted the perceived clarity of noise-vocoded speech. Noise-vocoded speech was perceived as clearer when preceded by a matching prime, and when sentences included key words with high lexical frequency and low neighborhood density. However, the strength of the lexical effects depended on the level of degradation. Matching text primes had a greater impact for speech with poorer spectral resolution, but lexical content had a smaller impact for speech with poorer spectral resolution. Finally, lexical information appeared to benefit both younger and older listeners. Findings demonstrate that lexical knowledge can be employed by younger and older listeners in cognitive compensation during the processing of noise-vocoded speech. However, lexical content may not be as reliable when the signal is highly degraded. Clinical implications are that for adult CI users, lexical knowledge might be used to compensate for the degraded speech signal, regardless of age, but some CI users may be hindered by a relatively poor signal.

Indexed as

aginglexical propertiesnoise-vocoded speechprimingspeech clarity

Identifiers

PMID35432072
PMCPMC9010567

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.