Objective speech intelligibility prediction using a deep learning model with continuous speech-evoked cortical auditory responses
Auditory prostheses provide an opportunity for rehabilitation of hearing-impaired patients. Speech intelligibility can be used to estimate the extent to which the auditory prosthesis improves the user’s speech comprehension. Although behavior-based speech intelligibility is the gold standard, precis...
Main Authors: | Youngmin Na, Hyosung Joo, Le Thi Trang, Luong Do Anh Quan, Jihwan Woo |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.906616/full |
Similar Items
-
A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation
by: Luong Do Anh Quan, et al.
Published: (2023-08-01) -
Exposing distinct subcortical components of the auditory brainstem response evoked by continuous naturalistic speech
by: Melissa J Polonenko, et al.
Published: (2021-02-01) -
Auditory Cortical Deactivation during Speech Production and following Speech Perception: An EEG investigation of the temporal dynamics of the auditory alpha rhythm
by: David E Jenson, et al.
Published: (2015-10-01) -
Cortical Entrainment to Continuous Speech: Functional Roles and Interpretations
by: Nai eDing, et al.
Published: (2014-05-01) -
Brain activity reflects the predictability of word sequences in listened continuous speech
by: Miika Koskinen, et al.
Published: (2020-10-01)