2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.AS2026
Leveraging Beam Search Information for Confidence Estimation in E2E ASR
Yichen Jia, Hugo Van hamme
To estimate confidence for end-to-end Automatic Speech Recognition (ASR) systems, recent research has proposed Confidence Estimation Modules that incorporate features from the back…
eess.AS2023★ 2 cited
The role of vowel and consonant onsets in neural tracking of natural speech
Mohammad Jalilpour Monesi, Jonas Vanthornhout, Hugo Van hamme +1
To investigate how the auditory system processes natural speech, models have been created to relate the electroencephalography (EEG) signal of a person listening to speech to vario…
eess.AS2023
Relating EEG to continuous speech using deep neural networks: a review
Corentin Puffay, Bernd Accou, Lies Bollens +4
Objective. When a person listens to continuous speech, a corresponding response is elicited in the brain and can be recorded using electroencephalography (EEG). Linear models are p…