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Open AccessJournal ArticleDOI

Envelope reconstruction of speech and music highlights stronger tracking of speech at low frequencies.

TLDR
In this article, a method of frequency-constrained reconstruction of stimulus envelopes using EEG recorded during passive listening was used to compare neural tracking of speech and music envelopes.
Abstract
The human brain tracks amplitude fluctuations of both speech and music, which reflects acoustic processing in addition to the encoding of higher-order features and one’s cognitive state. Comparing neural tracking of speech and music envelopes can elucidate stimulus-general mechanisms, but direct comparisons are confounded by differences in their envelope spectra. Here, we use a novel method of frequency-constrained reconstruction of stimulus envelopes using EEG recorded during passive listening. We expected to see music reconstruction match speech in a narrow range of frequencies, but instead we found that speech was reconstructed better than music for all frequencies we examined. Additionally, models trained on all stimulus types performed as well or better than the stimulus-specific models at higher modulation frequencies, suggesting a common neural mechanism for tracking speech and music. However, speech envelope tracking at low frequencies, below 1 Hz, was associated with increased weighting over parietal channels, which was not present for the other stimuli. Our results highlight the importance of low-frequency speech tracking and suggest an origin from speech-specific processing in the brain.

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Posted ContentDOI

Neural tracking as an objective measure of auditory perception and speech intelligibility

TL;DR: The neural tracking framework enables the analysis of neural responses (EEG) to continuous natural speech, e.g., a story or a podcast as mentioned in this paper, which allows for objective investigation of a range of auditory and linguistic processes in the brain during natural speech perception.
Journal ArticleDOI

Neural tracking as a diagnostic tool to assess the auditory pathway

TL;DR: In this paper , neural tracking of the fundamental frequency of the voice (f0), the speech envelope and linguistic features is discussed. But the authors focus on the early stages of the auditory pathway, i.e., from the auditory periphery up to early processing in the primary auditory cortex.
Journal ArticleDOI

Neural synchronization is strongest to the spectral flux of slow music and depends on familiarity and beat salience

- 12 Sep 2022 - 
TL;DR: Weineck et al. as discussed by the authors found that the spectral flux of music rather than the amplitude envelope evokes the strongest neural response, and that music with slower beat rates, high familiarity, and easy-to-perceive beats elicited the strongest response.
Journal ArticleDOI

MEG Activity in Visual and Auditory Cortices Represents Acoustic Speech-Related Information during Silent Lip Reading

TL;DR: In this article , the authors investigate how well temporal and occipital cortices reflect the physically presented signals and unique aspects of acoustic features that were physically absent but may be critical for comprehension.
Journal ArticleDOI

Editorial: Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine

TL;DR: In this article , the authors proposed a framework for auditory cognitive neuroscience using Front Neural Networks (Front. Neurosciences), 16 March 2022Sec. 2022, Section 5.2.
References
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TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
Journal ArticleDOI

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TL;DR: A dual-stream model of speech processing is outlined that assumes that the ventral stream is largely bilaterally organized — although there are important computational differences between the left- and right-hemisphere systems — and that the dorsal stream is strongly left- Hemisphere dominant.
Journal ArticleDOI

Structure and function of auditory cortex: music and speech

TL;DR: It is proposed that cortical asymmetries might have developed as a general solution to the need to optimize processing of the acoustic environment in both temporal and frequency domains.
Journal ArticleDOI

Cortical oscillations and speech processing: emerging computational principles and operations.

TL;DR: It is argued that neural oscillations are foundational in speech and language processing, 'packaging' incoming information into units of the appropriate temporal granularity, and constitutes a natural model system allowing auditory research to make a unique contribution to the issue of how neural oscillatory activity affects human cognition.
Journal ArticleDOI

Regularization theory and neural networks architectures

TL;DR: This paper shows that regularization networks encompass a much broader range of approximation schemes, including many of the popular general additive models and some of the neural networks, and introduces new classes of smoothness functionals that lead to different classes of basis functions.
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