Signal, Speech and Language Processing

Professor in charge: Mikko Kurimo
Professors: Paavo Alku, Visa Koivunen, Jorma Skyttä, Sergiy Vorobyov, Risto Wichman, Esa Ollila, Tom Bäckström
Extent: long major (60 cr) or compact major (40 cr)
Abbreviation: SSLP
Code: ELEC3031
School: Electrical Engineering

Objectives

The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology.

Students focusing in signal processing are given a strong theoretical background of modern signal processing. This means a toolbox of knowledge on signals and systems modelling, representation through transforms, systems optimization and implementation. Some emphasis is on the most recent research priorities in the field of signal processing in domains of data analysis, compression and storage, communications as well as in representation of signals. In addition, students can obtain even deeper understanding of signal processing and adjacent sciences, or apply signal processing in other fields. Interesting applications include radar systems and networks, data transmission, sensing and tracking of objects and spaces, as well as analysis of technical (machine based) and social (human based) networks. The cyber level of the smart power grid is increasingly important for efficient energy distribution and utilization, offering a platform for applying signal processing methodology for solving essential problems of great societal impact.

Students focusing in speech and language processing are provided basics of that field and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling, information retrieval and speech analysis, synthesis, recognition and coding.  Applications and research priorities have recently been, for example, speech recognition and synthesis, dictation, subtitling, machine translation, language learning, large-scale video data indexing and retrieval, speech coding and quality improvement in mobile phones and networks as well as in medical research of the human voice.

This major offers excellent opportunities also for postgraduate studies.

Content and structure

The major offers two different study tracks: signal processing and data science, and speech and language processing. The tracks consist of compulsory part and optional part.  Student must follow one of the study tracks.  In the major there are two courses common to both tracks.

The major can be completed either as a long (60 cr) or compact (40 cr) major. Students taking a compact major take also a master level minor (20-25 cr). Students taking a long major may include an optional minor in their elective studies.

 

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