32 citations · 32 across the 2 of their papers we have counts for
3 papers
cs.SD2020
Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding
Ali Aroudi, Marc Delcroix, Tomohiro Nakatani +3
The performance of speech enhancement algorithms in a multi-speaker scenario depends on correctly identifying the target speaker to be enhanced. Auditory attention decoding (AAD) m…
eess.AS2020
Improving auditory attention decoding performance of linear and non-linear methods using state-space model
Ali Aroudi, Tobias de Taillez, Simon Doclo
Identifying the target speaker in hearing aid applications is crucial to improve speech understanding. Recent advances in electroencephalography (EEG) have shown that it is possibl…
cs.SD2017★ 32 cited
Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling
Nasser Mohammadiha, Simon Doclo
This paper presents two single channel speech dereverberation methods to enhance the quality of speech signals that have been recorded in an enclosed space. For both methods, the r…