2023
DOI: 10.1016/j.neuroimage.2023.119894
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Speech intelligibility changes the temporal evolution of neural speech tracking

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Cited by 14 publications
(21 citation statements)
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“…Building on these results, we used Bayesian multilevel modeling to establish a link between neural speech tracking and behavior (Figure 3). Higher acoustic neural tracking is related to higher task performance, a finding also reported in a study that used vocoded speech (Chen et al, 2023). We also show that higher acoustic neural tracking is related to lower difficulty ratings.…”
Section: Predicting Behavior With Neural Trackingsupporting
confidence: 88%
See 1 more Smart Citation
“…Building on these results, we used Bayesian multilevel modeling to establish a link between neural speech tracking and behavior (Figure 3). Higher acoustic neural tracking is related to higher task performance, a finding also reported in a study that used vocoded speech (Chen et al, 2023). We also show that higher acoustic neural tracking is related to lower difficulty ratings.…”
Section: Predicting Behavior With Neural Trackingsupporting
confidence: 88%
“…Neural speech tracking has been proposed as an objective measure for speech intelligibility (Schmitt et al, 2022;Vanthornhout et al, 2018) along with a whole range of auditory and linguistic processes (Gillis et al, 2022). Previously, acoustic neural speech tracking has been related to behavioral measures such as speech intelligibility (Chen et al, 2023;Ding & Simon, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In analyzing the time-course of the speech-tracking response (TRF), we found that noise primarily impacted the mid-latency positive peak response around ∼150ms, but not the earlier negative peak at 100ms which is associated with low-level acoustic encoding (Salmelin, 2007). This is consistent with several recent studies that report correlations between mid-latency TRF components and intelligibility, particularly under noisy conditions (Broderick et al, 2018; Chen et al, 2023; Verschueren et al, 2020). Other studies reported modulation of mid-latency TRF components for degraded vs. clear speech (Kraus et al, 2021; Strauß et al, 2013), for background vs. target speech (Kaufman & Zion Golumbic, 2023; Orf et al, 2023) and for speech in an unfamiliar vs. familiar voice (Har-shai Yahav et al, 2023).…”
Section: Discussionsupporting
confidence: 93%
“…A post hoc analysis of their stimuli revealed that vocoding decouples the syllable rate from the modulation rate of the speech signal. [106] also confirmed in their data that decreasing acoustic clarity was associated with a shift in the central frequency of tracking from the syllabic to acoustic modulation rate of speech. Hence, it is possible that, in our experiment, the frequency bandwidth of neural tracking may have shifted towards a faster rate in spectrally degraded conditions, although the overall magnitude of decoding accuracy was unchanged.…”
Section: Discussionmentioning
confidence: 73%