Using auditory texture statistics for domain-neutral removal of background sounds
Noise suppression method exploiting the stationarity of sound textures
Recovering speech intelligibility for cochlear implants in noisy and reverberant situations using multi-microphone deep learning algorithms
Coping with noise and reverberation using multi-channel speech enhancement DNN algorithms for cochlear implants
Cortical speech tracking with different lip synchronization algorithms in virtual environments
This study compares cortical speech tracking of real and virtual speakers in different conditions.
Cortical tracking of speech: Effects of intelligibility and spectral degradation
Detecting the neural correlates of speech perception under spectrally degraded listening conditions.
Having choices for enhancing voices: Target speaker extraction in noisy multi-talker environments using deep neural networks
Target speaker-informed speech enhancement approaches can enhance speech perception in noisy multi-talker environments