ABSTRACT Objectives Recently an objective measure of speech intelligibility, based on brain responses derived from the electroencephalogram (EEG), has been developed using isolated Matrix sentences as a stimulus. We investigated whether this objective measure of speech intelligibility can also be used with natural speech as a stimulus, as this would be beneficial for clinical applications. Design We recorded the EEG in 19 normal-hearing participants while they listened to two types of stimuli: Matrix sentences and a natural story. Each stimulus was presented at different levels of speech intelligibility by adding speech weighted noise. Speech intelligibility was assessed in two ways for both stimuli: (1) behaviorally and (2) objectively by ...
EEG-based measures of neural tracking of natural running speech are becoming increasingly popular to...
Objectives: Grand average cortical responses to speech have shown the possibility to analyse perceiv...
Our auditory brain is very good at detecting speech, which we are able to understand when listening ...
Objectives: We investigate the relation between speech intelligibility and neural entrainment using ...
Speech intelligibility is currently measured by scoring how well a person can identify a speech sign...
OBJECTIVE: To objectively measure speech intelligibility of individual subjects from the EEG, based ...
Objectives Measuring speech understanding is currently done with behavioural tests. Behavioural test...
Objectives: Speech understanding is normally measured with behavioural tests. Such tests require the...
In clinical practice and research, behavioral tests are the golden standard to measure speech intell...
In noisy situations, speech may be masked with conflicting acoustics, including background noise fro...
Objectives: Research shows that neural entrainment of the speech envelope correlates with speech int...
Speech production is under-studied compared to speech perception largely due to complications in dat...
Objectives We investigated whether we can classify auditory EEG while avoiding imposing a model how ...
Neural entrainment quite recently became considered an important mechanism used by the brain to proc...
Recent studies have shown that neural oscillations in the auditory cortex modulate their phase to ma...
EEG-based measures of neural tracking of natural running speech are becoming increasingly popular to...
Objectives: Grand average cortical responses to speech have shown the possibility to analyse perceiv...
Our auditory brain is very good at detecting speech, which we are able to understand when listening ...
Objectives: We investigate the relation between speech intelligibility and neural entrainment using ...
Speech intelligibility is currently measured by scoring how well a person can identify a speech sign...
OBJECTIVE: To objectively measure speech intelligibility of individual subjects from the EEG, based ...
Objectives Measuring speech understanding is currently done with behavioural tests. Behavioural test...
Objectives: Speech understanding is normally measured with behavioural tests. Such tests require the...
In clinical practice and research, behavioral tests are the golden standard to measure speech intell...
In noisy situations, speech may be masked with conflicting acoustics, including background noise fro...
Objectives: Research shows that neural entrainment of the speech envelope correlates with speech int...
Speech production is under-studied compared to speech perception largely due to complications in dat...
Objectives We investigated whether we can classify auditory EEG while avoiding imposing a model how ...
Neural entrainment quite recently became considered an important mechanism used by the brain to proc...
Recent studies have shown that neural oscillations in the auditory cortex modulate their phase to ma...
EEG-based measures of neural tracking of natural running speech are becoming increasingly popular to...
Objectives: Grand average cortical responses to speech have shown the possibility to analyse perceiv...
Our auditory brain is very good at detecting speech, which we are able to understand when listening ...