Literature DB >> 18595182

Human cortical responses to the speech envelope.

Steven J Aiken1, Terence W Picton.   

Abstract

OBJECTIVE: To evaluate the response of the human auditory cortex to the temporal amplitude-envelope of speech. Responses to the speech envelope could be useful for validating the neural encoding of intelligible speech, particularly during hearing aid fittings--because hearing aid gain and compression characteristics for ongoing speech should more closely resemble real world performance than for isolated brief syllables.
DESIGN: The speech envelope comprises energy changes corresponding to phonemic and syllabic transitions. Envelope frequencies between 2 and 20 Hz are important for speech intelligibility. Human event-related potentials were recorded to six different sentences and the sources of these potentials in the auditory cortex were determined. To improve the signal to noise ratio over ongoing electroencephalographic recordings, we averaged the responses over multiple presentations, and derived source waveforms from multichannel scalp recordings. Source analysis led to bilateral, symmetrical, vertical, and horizontal dipoles in the posterior auditory cortices. The source waveforms were then cross-correlated with the low frequency log-envelopes of the sentences. The significance and latency of the maximum correlation for each sentence demonstrated the presence and latency of the brain's response. The source waveforms were also cross-correlated with a simple model based on a series of overlapping transient responses to stimulus change (the derivative of the log-envelope).
RESULTS: Correlations between the log-envelope and vertical dipole source waveforms were significant for all sentences and for all but one of the participants (mean r = 0.35), at an average delay of 175 (left) to 180 (right) msec. Correlations between the transient response model (P1 at 68 msec, N1 at 124 msec, and P2 at 208 msec) and the vertical dipole source waveforms were detected for all sentences and all participants (mean r = 0.30), at an average delay of 6 (right) to 10 (left) msec.
CONCLUSIONS: These results show that the human auditory cortex either directly follows the speech envelope or consistently reacts to changes in this envelope. The delay between the envelope and the response is approximately 180 msec.

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Year:  2008        PMID: 18595182     DOI: 10.1097/aud.0b013e31816453dc

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  59 in total

1.  Identifying fragments of natural speech from the listener's MEG signals.

Authors:  Miika Koskinen; Jaakko Viinikanoja; Mikko Kurimo; Arto Klami; Samuel Kaski; Riitta Hari
Journal:  Hum Brain Mapp       Date:  2012-02-17       Impact factor: 5.038

2.  The pace of prosodic phrasing couples the listener's cortex to the reader's voice.

Authors:  Mathieu Bourguignon; Xavier De Tiège; Marc Op de Beeck; Noémie Ligot; Philippe Paquier; Patrick Van Bogaert; Serge Goldman; Riitta Hari; Veikko Jousmäki
Journal:  Hum Brain Mapp       Date:  2012-01-03       Impact factor: 5.038

3.  Sensitivity to temporal modulation rate and spectral bandwidth in the human auditory system: MEG evidence.

Authors:  Yadong Wang; Nai Ding; Nayef Ahmar; Juanjuan Xiang; David Poeppel; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

4.  Neural coding of continuous speech in auditory cortex during monaural and dichotic listening.

Authors:  Nai Ding; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

5.  Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension.

Authors:  Mary F Howard; David Poeppel
Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

Review 6.  Temporal context in speech processing and attentional stream selection: a behavioral and neural perspective.

Authors:  Elana M Zion Golumbic; David Poeppel; Charles E Schroeder
Journal:  Brain Lang       Date:  2012-01-29       Impact factor: 2.381

Review 7.  Machine Learning Approaches to Analyze Speech-Evoked Neurophysiological Responses.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

8.  Context-dependent role of selective attention for change detection in multi-speaker scenes.

Authors:  Christian Starzynski; Alexander Gutschalk
Journal:  Hum Brain Mapp       Date:  2018-07-12       Impact factor: 5.038

9.  Brainstem Evoked Potential Indices of Subcortical Auditory Processing After Mild Traumatic Brain Injury.

Authors:  Kathy R Vander Werff; Brian Rieger
Journal:  Ear Hear       Date:  2017 Jul/Aug       Impact factor: 3.570

10.  Semantic Context Enhances the Early Auditory Encoding of Natural Speech.

Authors:  Michael P Broderick; Andrew J Anderson; Edmund C Lalor
Journal:  J Neurosci       Date:  2019-08-01       Impact factor: 6.167

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