This one-year master's in Voice Technology will give you the expertise you need to contribute to the cutting edge in voice synthesis and speech recognition.
Whenever you dictate a message on your smartphone or ask Alexa the weather, you are using voice technologies. But this is only the beginning! Soon speech technologies will be present in even more smart places, with applications in health, cybersecurity, language learning, and much more. For now, people with scientific expertise in the domain of VT are in short supply. We aim to fix that!
This programme is suitable for students from different academic backgrounds with a strong interest in tech. You will work in teams to make your own synthetic voices, speech recognisers, and more. Interact with guest speakers from speech tech start-ups, multinationals, and research labs around the world and have the chance to collaborate with PhD students. In the final semester, you will even make your own voice tech demo as a final project.
The programme was developed in consultation with partners from Silicon Valley, local start-ups and universities worldwide to ensure you acquire expertise in voice synthesis and speech recognition and have the requisite mastery of programming, machine learning, and speech sounds to make an impact when you graduate.
"You can achieve something remarkable with this Master's programme!"
Tatsu Matsushima, alumnus
During my master's study, I have learned all the necessary fundamental theories and practices of deep learning, speech recognition, and speech synthesis. Since deep learning is rapidly advancing and still under development, the skill allowing me to keep expanding my knowledge and updating myself on state-of-the-art approaches is of lifelong value.
As you may know, MSc. Voice Technology is the only program in Europe that focuses on voice technology. Because of the narrow scope, you will be able to learn deeply from traditional and advanced approaches in the field. I would definitely recommend the program if you are enthusiastic about learning the intersection of AI and speech. This is a unique opportunity!
Having said that, voice technology is a complicated discipline that requires a great deal of motivation and effort to learn new things. If you are up for a challenge I'm sure you can achieve something remarkable with this master's program!
Leminh Nguyen is a graduate of the MSc Voice Technology program. In his thesis, he pioneered improvements in the automatic recognition of Luxembourgish, his native language. As a result of this work, he was invited by the Luxembourgish Ministry of Education to create an Automatic Speech Recognition (ASR) web application for the Luxembourgish language.
He was also invited to present his work during the prestigious 2022 IEEE Spoken Language Technology workshop in Qatar. While in Qatar he took the time to speak with us about his research, its implications, and why he is so passionate about the topic.
Speech Sounds course testimonial
The course Speech Sounds is integral in the Masters of Voice technology. The scope of the course involves the interface between phonetics/phonology and speech technology. One major challenge is the diverse profiles of students, some coming from the social sciences, others from computing sciences, and still others from different fields. Lecturer Vass Verkhodanova masterfully balances this complex issue through highly innovative and hands-on approaches.