Voice Technology

The curriculum is aligned across four blocks.

1: The courses in this block lay the foundations for the MSc. Voice Technology with essential content needed for the rest of the programme. This includes an introductory course into voice technology (in which you will develop your first application). Students also learn Python programming for voice technology and become familiar with the scientific study of speech sounds.

2: This block provides subject-specific courses on voice technology. The knowledge and skills learned in the 1st block are used together with Machine Learning within the courses Speech Recognition I and Speech Synthesis I, both of which start from the humble beginnings of voice technology, and give students an inside, hands-on view on some of the first attempts to automatically recognize and synthesize voice up to current systems.

3: Speech recognition and synthesis are taken to a higher level in Speech Recognition II and Speech Synthesis II as students learn about state-of-the art systems and real-world challenges, augmented with guest lectures given by industrial partners. The Thesis Design course educates students on experimental protocol and research ethics and guides them through the development of a pilot study and prototype demonstrator.

4: Students combine knowledge and skills from the previous blocks and use them in their Thesis Project. Building on the pilot study and prototype developed in the last block, students write their thesis and polish their prototype to create a demonstrator suitable for their thesis defense. They also prepare to present results at the end of the year.

PLEASE NOTE: your application deadline is determined by the country where you obtained your diploma, not your nationality. For example: 'Dutch students' means students with a Dutch diploma; 'EU/EEA students' means students with a diploma from a EU/EEA country; 'non-EU/EEA students' means students with a diploma from a non-EU/EEA country.

The MSc VT allows direct entry for anyone with a bachelor's degree from a recognized university and a sincere interest in the topic. That said, a Bachelor's degree in Computer Science, Artificial intelligence and Applied Linguistics (and familiarity with Python) would be an asset.

• PLEASE NOTE: your application deadline is determined by the country where you obtained your diploma, not your nationality. For example: 'Dutch students' means students with a Dutch diploma; 'EU/EEA students' means students with a diploma from a EU/EEA country; 'non-EU/EEA students' means students with a diploma from a non-EU/EEA country.