Including Measures of High Gamma Power Can Improve the Decoding of Natural Speech From EEG
The human auditory system is highly skilled at extracting and processing information from speech in both single-speaker and multi-speaker situations. A commonly studied speech feature is the amplitude envelope which can also be used to determine which speaker a listener is attending to in those mult...
Main Authors: | Shyanthony R. Synigal, Emily S. Teoh, Edmund C. Lalor |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-04-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2020.00130/full |
Similar Items
-
EEG-based classification of natural sounds reveals specialized responses to speech and music
by: Nathaniel J. Zuk, et al.
Published: (2020-04-01) -
Robust EEG-Based Decoding of Auditory Attention With High-RMS-Level Speech Segments in Noisy Conditions
by: Lei Wang, et al.
Published: (2020-10-01) -
Where is the cocktail party? Decoding locations of attended and unattended moving sound sources using EEG
by: Adam Bednar, et al.
Published: (2020-01-01) -
Decoding the Attended Speaker From EEG Using Adaptive Evaluation Intervals Captures Fluctuations in Attentional Listening
by: Manuela Jaeger, et al.
Published: (2020-06-01) -
Preferred Tempo and Low-Audio-Frequency Bias Emerge From Simulated Sub-cortical Processing of Sounds With a Musical Beat
by: Nathaniel J. Zuk, et al.
Published: (2018-05-01)