Dataset Information

Lexical Influences on Errors in Masked Speech Perception in Younger, Middle-Aged, and Older Adults.

ABSTRACT: Purpose In situations with a competing talker, lexical properties of words in both streams affect the recognition of words in the to-be-attended target stream. In this study, we tested whether these lexical properties also influence the type of errors made by listeners across the adult life span. Method Errors from a corpus collected by Helfer and Jesse (2015) were categorized as phonologically similar to words in the target and/or masker streams. Younger, middle-aged, and older listeners had produced these errors when trying to identify key words from a target stream while ignoring a single-talker masker. Neighborhood density and lexical frequency of target words and masker words had been manipulated independently. Results Lexical properties of target words influenced all types of errors. With higher frequency maskers, the probability of responding with a masker word increased and the phonological influence of target words decreased. Lower levels of lexical competition for maskers increased the probability that listeners reported a word phonologically related to both masker and target words. The influence of masker words increased across the adult life span, as evidenced by phonological intrusions into responses and the temporary failure in selectively attending to the target stream. The effects of lexical properties on error patterns, however, were consistent across age groups. Conclusions The ease of recognition of words in both attended and unattended speech influences the breakdown of speech perception. These influences remain robust across the adult life span.

SUBMITTER: Jesse A

PROVIDER: S-EPMC6802874 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Lexical Influences on Errors in Masked Speech Perception in Younger, Middle-Aged, and Older Adults.

Jesse Alexandra A Helfer Karen S KS

Journal of speech, language, and hearing research : JSLHR 20190401 4S

Purpose In situations with a competing talker, lexical properties of words in both streams affect the recognition of words in the to-be-attended target stream. In this study, we tested whether these lexical properties also influence the type of errors made by listeners across the adult life span. Method Errors from a corpus collected by Helfer and Jesse (2015) were categorized as phonologically similar to words in the target and/or masker streams. Younger, middle-aged, and older listeners had pr ...[more]

PMID: 31026195

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Project description: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.

Project description:Successful perception depends on combining sensory input with prior knowledge. However, the underlying mechanism by which these two sources of information are combined is unknown. In speech perception, as in other domains, two functionally distinct coding schemes have been proposed for how expectations influence representation of sensory evidence. Traditional models suggest that expected features of the speech input are enhanced or sharpened via interactive activation (Sharpened Signals). Conversely, Predictive Coding suggests that expected features are suppressed so that unexpected features of the speech input (Prediction Errors) are processed further. The present work is aimed at distinguishing between these two accounts of how prior knowledge influences speech perception. By combining behavioural, univariate, and multivariate fMRI measures of how sensory detail and prior expectations influence speech perception with computational modelling, we provide evidence in favour of Prediction Error computations. Increased sensory detail and informative expectations have additive behavioural and univariate neural effects because they both improve the accuracy of word report and reduce the BOLD signal in lateral temporal lobe regions. However, sensory detail and informative expectations have interacting effects on speech representations shown by multivariate fMRI in the posterior superior temporal sulcus. When prior knowledge was absent, increased sensory detail enhanced the amount of speech information measured in superior temporal multivoxel patterns, but with informative expectations, increased sensory detail reduced the amount of measured information. Computational simulations of Sharpened Signals and Prediction Errors during speech perception could both explain these behavioural and univariate fMRI observations. However, the multivariate fMRI observations were uniquely simulated by a Prediction Error and not a Sharpened Signal model. The interaction between prior expectation and sensory detail provides evidence for a Predictive Coding account of speech perception. Our work establishes methods that can be used to distinguish representations of Prediction Error and Sharpened Signals in other perceptual domains.

Dataset Information

Lexical Influences on Errors in Masked Speech Perception in Younger, Middle-Aged, and Older Adults.

Publications

Lexical Influences on Errors in Masked Speech Perception in Younger, Middle-Aged, and Older Adults.

Similar Datasets

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