Machine Hearing 2.0: Biophysically-inspired auditory signal processing for machine-hearing applications Ghent University
With the rise of speech and audio-steered automatic systems (e.g., speech recognition, robotics), also the limitations of these technologies have become apparent. Automatic speech recognition fails when acoustic conditions are sub-optimal due to background noise, and applications are not tailored to the pathologies of individuals interfacing with them (e.g. hearing impairment). To improve the application range and accessibility of automatic ...