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.

Soundproofed wall in an anechoic chamber at the Aalto University Acoustic Lab Facilities
Groups of students walking in the park Alvarinaukio in summer / photo by Aalto University, Mikko Raskinen

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!

Xenon lamp large

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 University / Communication acoustics / photo: Ville Pulkki

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.

All filters of a third-octave graphic equalizer

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.

Support and administrative personnel in SPA

News

koivunenvisa_02_en.jpg
Honoured Published:

Professor Visa Koivunen receives association EURASIP's most prestigious honor

Professor Visa Koivunen from the Department of Signal Processing and Acoustics, is the second recipient of this recognition from Finland
lapsi älypotkupuvussa kuva: sampsa vanhatalo / helsingin yliopisto
Research & Art Published:

A smart jumpsuit provides information on infants’ movement and development

A new innovation by University of Helsinki and Aalto University makes it possible, for the first time, to quantitatively assess children’s spontaneous movement in the natural environment.
Testing guitar signals at the Aalto Acoustics Lab
Research & Art, University Published:

Deep learning can fool listeners by imitating any guitar amplifier

A study from the Aalto Acoustics Lab demonstrates that digital simulations of guitar amplifiers can sound just like the real thing. The implications are that as the software models continue to improve, they can replace traditional analogue guitar amplifiers, which are bulky, fragile and expensive.
people at anechoic chamber in the aalto university acoustics lab photo benoit alary
Campus, Research & Art Published:

The quietest place in Finland - Acoustics Lab renovation is complete

The laboratory and its office facilities were thoroughly refurbished.

Events

Lectures and seminars

Guest lecture by Prof. Helmut Bölcskei: Fundamental limits of learning in deep neural networks

Distinguished Lecturer, Prof. Helmut Bölcskei from ETH Zurich will give a talk at Aalto in April.

Where to find us

Maarintie 8

Maarintie 8, Espoo

Maarintie 8

Health Technology House

Address: Otakaari 3 & Rakentajanaukio 2.
Open: 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, Espoo.
Opening hours: Mon-Thu 7.45 - 20.00 Fri 7.45-18.00 and Sat 11.00-18.00.

The Computer Science building / Tietotekniikan talo is mainly used for IT and electrical engineering teaching and research.

Tietotekniikan talo, Computer Science Building

A Grid

Address: Otakaari 5
Open for members 24/7.

A Grid
  • Published:
  • Updated:
Share
URL copied!