3-day or 5-day signal processing course for experts and researchers

Are you ready to take your professional expertise in hearing assistive devices (HADs) to new heights? Do you seek an in-depth understanding of the technical problems related to HADs and their potential solutions?

The 3-day or 5-day course “Signal Processing for Hearing Assistive Devices” is tailored for engineers, technical developers and researchers working within the field of audio relating to HADs.

HADs are ubiquitous. They include, but are not limited to, devices such as headsets for speech communication in noisy environments (airplane crews, rescue teams, etc.), headsets for office use, or hearing care systems such as hearing aids.  Which device relates to your work? 

The course consists of lectures and hands-on exercises, allowing the participants to understand in-depth the technical problems related to HADs and their potential solutions. The multi-disciplinary course focuses on applying theoretical results to real-world problems and practical do’s and don’ts. While the course focuses on application, many of the discussed techniques are general – and therefore applicable in your specific work or research.

What can you expect? 

Course Highlights:

• Fundamentals: Covering auditory perception and basic principles of HADs.
• Advanced signal processing: Explore state-of-the-art solutions – from beamforming to feedback control and more.
• Evaluation methodologies: Understanding speech intelligibility and assessing listening effort.
• In-depth learning: Lectures and hands-on exercises that explore technical problems and solutions related to HADs.
• Multidisciplinary approach: Applying theoretical insights to practical scenarios and mastering the do's and don'ts.
• Networking opportunities: Engage with peers and experts in sound, signal processing, and machine learning.
• A flexible course package: You can choose a 3-day or a 5-day course depending on your needs and time schedule.

As an inspiration and for your further development, CASPR provides a ”Research talks on emerging technologies” event the following two days after the course, where participation is optional. University researchers will give the talks – furthermore, you will have the opportunity to network with other participants and experts in sound, signal processing, and machine learning.

3-day or 5-day course? 

The three days will cover teaching, presentations, hands-on practical training, and networking. A diploma will be issued on successful completion of the 3-day program.

The last two – optional – days are devoted to lectures on emerging technologies for hearing assistive devices. These include deep learning based methods for multi-modal HAD processing, including EEG and sound, methods for listening effort and attention decoding, generative speech enhancement methods, hearing loss compensation methods, self-supervised deep learning methods, HADs involving microphones outside the ear of the user, and methods for low-latency enhancement and communication.