Language and Speech Technology for AI, Computing Sciences and Electrical Engineering
Making machines competent in human communication
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Language and Speech Technology for AI combines signal processing, machine learning, linguistics, and computer science to develop text- and speech-based systems for various applications. Language technologies allow machines to deal with different forms of written language, enabling applications such as language model -based AI systems, machine translation, information retrieval, text summarization, information extraction, and question answering. Speech technologies enable conversion of acoustic speech signals into machine-understandable form, and thereby analysis of speech from various perspectives, such as what is said, who is speaking, what is the speaking style, or what is the emotional state of the speaker. Speech technologies also transformation of the signal for various purposes, such as compression and transmission, denoising, and intelligibility enhancement, and naturally, machine generation of realistic-sounding speech. Together language and speech technologies form the basis for many modern technologies, such as conversational agents, speech-to-speech translation, and systems for spoken language understanding.
Key content of studies
During your studies, you will become familiar with statistical and rule-based approaches to natural language processing, fundamentals and advanced techniques for speech processing, and modern approaches to deep learning and neural language models. You can also choose to deepen your understanding of human speech by pursuing elective studies in phonetics, studying more about audio signal processing, or you can focus on applications of language and speech technologies for conversational agents, fine-tuning of large language models, or use of language technologies in translation and information retrieval. During the two years of master’s studies, you will obtain a broad view to key technologies in text and speech processing and ability to apply these technologies to solve real-world problems.
Excellent career opportunities
As a graduate, you will have knowledge and skills to understand, utilize, and further develop technologies operating on speech and text data—data central to all human-human and human-machine communication. Such expertise is required in many private and public sector roles where analysis or other processing of spoken and written language is involved, ranging from data analyst to AI agent developer and from robotics engineer to forensics investigator. MSc degree with specialization in Language and Speech Technology for AI also provides a strong foundation to pursue doctoral studies in academic institutions.
Path to Doctoral Studies
After graduation, you’ll be eligible to apply for doctoral programmes in Finland and internationally, continuing your journey in advanced research and innovation.
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Curriculum
Language and Speech Technology for AI (MSc Tech) is one of the engineering specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Programme curriculum is currently under preparation and will be published in the beginning of 2027.
Become a student
Learn more about the studies, admissions, and eligibility criteria on Studyinfo. In addition, applications are submitted via the Studyinfo.fi service.
Learning outcomes of Language and Speech Technology for AI specialization
After graduation, you can apply fundamental theories and methods in language and speech technologies to speech, text, and language-based AI systems, including knowledge and hands-on skills for rule-based and statistical natural language processing, speech processing, and large language models. You also learn to apply deep learning in modern language and speech technologies. You will understand how state-of-the-art systems for language and speech processing operate, and you will know how to apply these systems for practical problems. Depending on your choice of elective studies, you will also extend your expertise towards advanced machine learning techniques for language processing, human-technology interaction, audio processing, information retrieval, and/or AI-based translation through dedicated topical courses.
Key courses
Introduction to Audio and Speech Processing
Speech Processing
Statistical Methods for Text Data Analysis
Rule-Based Natural Language Processing
Deep Learning
Neural Language Models
Get to know our teachers and professors!
Okko Räsänen, Professor, Speech Technology and Cognitive Science
Get to know Computing Sciences unit of the Faculty of Information Technology and Communication Sciences (ITC)
For more information
Please read through the information provided. For further questions regarding the application process, contact our Admissions office at admissions.tau@tuni.fi or for questions regarding the content of the programme, please contact itc.studies.tau@tuni.fi.