Vice President of Clinical Research Strategy Sonova
Disclosure(s): Sonova: Employment (Ongoing)
Methods related to machine learning have contributed to the development of hearing aids for at least a decade. These methods improved patient outcomes in a variety of ways that include but are not limited to advancing acoustic scene classification, steering of signal processing, and gaining prescriptions. During this session, we will review the state of the art in speech enhancement and acoustic denoising with a specific focus on research applications that show promise for use in hearing aids. This overview will help us understand what promise exists on the near-term horizon for the treatment of hearing loss.
Learning Objectives:
Describe how intelligent systems (i.e., artificial intelligence) can be used to enhance speech understanding.
Identify past examples of artificial intelligence in hearing systems.
Explain future techniques for speech enhancement and denoising.
