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A leading health technology company in Izegem offers a thesis opportunity focused on developing voice-enabled features for healthcare communication systems. The project involves exploring AI technologies and implementing voice assistance on embedded devices. Ideal for students pursuing a Bachelor's or Master's degree, this role supports patient and nurse interactions in a modern healthcare setting.
Televic Healthcare develops and manufactures professional communication systems within the care sector for nurse call, patient/staff localization and mobile alarming. Our state-of-the-art systems are adapted to the evolving market and have been implemented in healthcare institutions across the world.
At Televic Healthcare, we are at the forefront of revolutionizing healthcare through cutting-edge communication and information technology. We specialize in designing, developing and manufacturing innovative solutions that enhance patient care, streamline processes and empower healthcare professionals. We work in a channel model through certified partners internationally and our ambition is to become the reference in our niche market through innovation.
Televic Healthcare (THC) offers professional communication systems within the care sector for nurse call, patient localization and mobile alarming. Patient rooms are equipped with state-of-the-art room terminals that have a 10" display, microphone and speakers. Next to this you’ll find back handsets and intercom units that also support audio.
Nowadays voice assistant has become a common way to execute actions in our daily life. Different cloud and local models exist for speech-to-text and text-to-speech engines. Recently, large language models have gained interest to enhance communication.
Within this thesis, the goal is to explore and implement a number of “voice-enabled” features and implement them on the AQURA 10" Terminal and/or AQURA smart handset. This can be very useful in the context of a patient who does not have an easy way to execute actions with his body, and also useful for nurses to write text instead of typing everything manually on the 10" Terminal on-screen keyboard.
In this thesis you will first evaluate the technologies for text-to-speech, speech-to-text and voice assistants to support further interaction. You will implement this on an embedded Linux device. Finally, a demonstrator on one of the use cases will be created.
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