MSc in Voice Technology
University of Groningen
Key Information
Campus location
Leeuwarden, Netherlands
Languages
English
Study format
On-Campus
Duration
1 Year
Pace
Full time
Tuition fees
EUR 2,314 / per year *
Application deadline
01 May 2024
Earliest start date
Sep 2024
* EU/EEA students: €2,314 | non-EU/EEA students: €17,800
Introduction
MSc Voice Technology
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.
Curriculum
The curriculum is aligned across four blocks:
- The courses in this block lay the foundations for the programme of Voice Technology.
Courses:
- Introduction to Voice Technology
- Programming
- Speech Sounds
2. This block provides subject-specific courses on voice technology.
Courses:
- Machine Learning
- Speech Recognition I
- Speech Synthesis I
3. In this block students continue with more advanced courses, as well as start preapring for their thesis writing.
Courses:
- Speech Recognition II
- Speech Synthesis II
- Thesis Design
4. Students combine knowledge and skills from the previous blocks and use them in their Thesis Project.
Courses:
- Thesis Project
Admissions
Program Outcome
Credits: 60 ECTS
Degree: MSc in Voice Technology
After graduation: After your studies you can work in industry, for example at the speech labs of the bigger tech companies. Due to the interdisciplinary character of the programme students from different backgrounds learn to communicate and work together. The combination of programming and machine learning skills with linguistics knowledge is a very attractive feature for the labor market. Of course students can also pursue an academic career. Thus, there are several academic speech labs in Europe and beyond.
Scholarships and Funding
This programme has no scholarships or funding options.
Ideal Students
Our students
The Voice Technology MSc attracts students interested in topics like A.I., computer science, human/machine interaction, linguistics, and/or digital humanities. Our students are curiosity-driven, collaborative, creative people passionate about science & tech. Many will pursue a career at a tech company or start-up, others are entrepreneurs or doctoral candidates. The programme appeals most to students interested in a hands-on, highly engaged, interdisciplinary programme on voice technologies.
Program Tuition Fee
Career Opportunities
Throughout the programme we invite several guest speakers from industry. That way students will get a good impression of the various possibilities ranging from developing speech recognizer, synthetic voices, automatic detection of pathologies from speech, the use of voice technology in robotica and/or dialogue systems, etc. The voice technology industry is a fast-growing market which provides lots of opportunities for graduates.
Job examples
- Voice Forensic Specialist
- Speech Analyst
- Research Engineer
- Entrepreneur
- PhD Researcher
- Speech Scientist