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Department of Signal Processing and Acoustics

Department of Signal Processing and Acoustics

The Department of Signal Processing and Acoustics (SPA) combines competence in different areas of research fields varying from ICT technology to core electrical engineering and its basic phenomena.

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Alvarinaukio Kuva: Mikko Raskinen / Aalto-yliopisto

Open positions in SPA

Research

The research conducted in the unit is of highest international quality, in many of these areas, and the cooperation tight with several ICT and other high-tech companies.

With these companies, we boost practical applications that create societal impact.

Metrology Research Institute

Metrology Research Institute focuses on optical radiation measurements and related activities. We do not forecast the weather!

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Signal processing

Our goal is to do world-class signal processing research by focusing on fundamental signal processing theory and methods.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Communication acoustics: spatial sound and psychoacoustics

Capturing, transmission, reproduction, synthesis, and perception of sound - these are the fields that interest us in the communication acoustics team.

Aalto Flags - Aino Huovinen

Audio signal processing

The Audio Signal Processing Research Group is working on wideband sound technology, which is extensively applicable for example in mobile phones, music technology, and noise control.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Speech technology

The Speech Technology research group works on developing new methods and approaches to discovering and processing patterned information within speech and audio signals.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Speech communication technology

Speech communication technology aims at describing, explaining and reproducing communication by speech.

Aalto Flags - Aino Huovinen

Speech recognition

Our goal is to generally improve the speech recognition methodology with the help of the new algorithms developed in Aalto University. Speech recognition offers challenging benchmarking tasks for efficient algorithms that can process and learn to represent large quantities of data.

Speech_Recognition_Aalto_University

Support and administrative personnel in SPA

News

Aalto University / First year master’s student Oskari Lehtonen / photo: Linda Koskinen
Studies Published:

In the Bachelor’s Programme in Bioinformation Technology, the best thing is getting to solve study tasks together

The broad range of courses offered and the free movement between the different schools enabled Oskari Lehtonen to go deep into the topics that interested him.
Aalto University / Farah Salah at Aalto ELEC Career Café / photo: Linda Koskinen
Cooperation, University Published:

Graduates from the School of Electrical Engineering are happy to offer their expertise to students

At the ELEC Career Café, students at the School of Electrical Engineering had a unique opportunity to meet with business leaders and experts over a cup of coffee.
Aalto University / Aalto satellites family / photo: Linda Koskinen
Cooperation, Research & Art Published:

Virtual world took people to space

The School of Electrical Engineering organised its traditional Research Winter Day on 13 March. This time, research was presented through demos.
Award for Quality Teaching
Studies Published:

Nominate your choice for the Award for Quality Teaching

Nominate your choice for the Award for Quality Teaching

Events

Dissertations

Defence of dissertation in the field of Language Technology, M.Sc. (Tech.) Reima Karhila

The title of thesis is “Building personalised speech technology systems with sparse, bad quality or out-of-domain data”
Dissertations

Defence of dissertation in the field of Language Technology, M.Sc. (Tech.) Peter Smit

The title of thesis is “Modern subword-based models for automatic speech recognition”

Head of department

Jorma Skyttä

Jorma Skyttä

Department of Signal Processing and Acoustics
Laitoksen johtaja

Where to find us

Maarintie 8

Formerly TUAS building.
Address: Maarintie 8
Mon-Thu 7.45-20.00, Fri 7.45-20.00.

Maarintie 8

OIH – Open Innovation House

Address: Maarintie 6
Mon–Fri 8.00–16.00.

Open innovation house

Health Technology House

Address: Otakaari 3 & Rakentajanaukio 2
Mon-Thu 7.45-20.00, Fri 7.45-18.00

Otakaari 3. Aalto University Campus and Real Estate.

Computer Science building

Address: Konemiehentie 2
T-talo (T building)
Mon-Thu 7.45-20.00, Fri 7.45-18.00

Tietotekniikan talo, Computer Science Building

A Grid

Address: Otakaari 5
Mon-Fri 8.00-20.00, to members 24/7.

A Grid
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