Language and Speech Technology for AI, Computing Sciences and Electrical Engineering, Master of Science (Technology) (2 yrs)

About this programme

Spoken and written languages are the core elements of being a human. But how can machines understand human language? How do large language models, the backbone of modern AI systems, operate? What kinds of information do different forms of language carry, and how can we extract that information from text data and speech signals? Language and speech technologies form the technical foundation that allows humans and machines to speak the same language, supporting a large variety of modern technologies, such as text- and voice-based AI systems, information retrieval, voice over IP, and generation of synthetic voices. 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.