PROJECTS

Current Student projects within CASPR (Fall 2018)

  • “User voice retrieval using microphones and an additional sensor”.
    Mathematical Engineering, long thesis project with Oticon A/S.
    Julius Garde.
  • “Keyword spotting using machine learning”.
    Signal Processing and Acoustics. 9th Semester project with Oticon A/S.
    Jacob Theilgaard Lassen.
  • “Data Compression in Distributed Optimization”.
    Signal Processing and Acoustics. 7th Semester.
    Jakob Sloth Lauridsen, Jonas Koldkjær Jensen
    Mads Bangshaab, Thomas Damgaard.
  • “Zero-delay multiple description audio coding”.
    Mathematical Engineering, long thesis project.
    Andreas J. Fuglsig.
  • “Deep learning speech/audio coding”.
    Mathematical Engineering, long thesis project with RTX A/S.
    Barbara Martinovic.
  • “Sound field estimation using Deep Neural Networks”.
    Mathematical Engineering, long thesis project with B&O.
    Sanne D. Nielsen and Morten Ø. Nielsen.

Earlier Student projects within CASPR (Spring 2018)

  • “A Hybrid Approach for Speech Enhancement with DNN Supported Acoustic Beamforming”.
    Signal Processing and Computing, thesis project. With Oticon A/S.
    Poul Hoang.
  • “DNN for voice conversion”.
    Mathematical Engineering, long thesis project.
    Mathias Bülow Kastbjerg
  • “Indoor Visual Navigation using Deep Reinforcement Learning”.
    Mathematical Engineering, long thesis project.
    Søren Skov
  • “What are the users doing? An exploration of contextual features in the home”.
    Vision, Graphics and Interactive Systems, long thesis project. With B&O.
    Andrea Lucena Coifman, Péter Rohoska.
  • “Convolution Framelets for high-quality multi-channel audio coding”.
    Mathematical Engineering. Final thesis project. With Oticon A/S.
    Mathias Bach Pedersen, Thomas Rune Hansen, Hoza B. Maniragaba.
  • “Acoustic source localization in small rooms using compressive sensing”.
    Mathematical Engineering, 8th Semester. With B&O.
    Morten Østergaard Nielsen, Sanne Damhus Nielsen, Julius Garde.
  • “Deep Learning for Robust Spoken Language Identification”.
    Mathematical Engineering, long thesis project.
    Peter Sibbern Frederiksen.

 

Earlier Student projects within CASPR (Fall 2017)

  • “Deep Learning for Robust Spoken Language Identification”.
    Mathematical Engineering, long thesis project.
    Peter Sibbern Frederiksen.
  • “Indoor Visual Navigation using Deep Reinforcement Learning”.
    Mathematical Engineering, long thesis project.
    Søren Skov
  • “What are the users doing? An exploration of contextual features in the home”.
    Vision, Graphics and Interactive Systems, long thesis project.
    Andrea Lucena Coifman, Péter Rohoska.
  • “Data Compression in Feed-forward Neural Networks”.
    Mathematical Engineering, 7th Semester. Group 790.
    Morten Østergaard Nielsen, Sanne Damhus Nielsen, Barbara Martinovic
  • “Information Theory in Deep Neural Networks”.
    Mathematical Engineering, 7th Semester. Group 791.
    Kasper Ramsgaard-Jensen, Julius Garde, Kristoffer Stern, Andreas Jonas Fuglsig.
  • “Convolution Framelets for Audio Denoising”.
    Mathematical Engineering, 9th Semester.
    Mathias Bach Pedersen, Thomas Rune Hansen, Hoza B. Maniragaba.
  • “Adaptive Sound Zones”.
    Signal Processing and Computing, 9th Semester.
    Poul Hoang.

Earlier Student projects within CASPR (Spring 2017)

  • “Sound Source Localization for Hearing Aids”.
    Mathematical Engineering, 8th Semester. Group G3-111
    Emil Skovfoged Gregersen, Martin Mølbach Nissen, Mathias Bach Pedersen,
    Hoza Benjamin Maniragaba
  • “Deep denoising autoencoder for speech enhancement”. Mathematical Engineering, 8th Semester. Group G3-115.
    Peter Sibbern Frederiksen, Mathias Bülow, Kastbjerg Søren Skov
  • “Convolutional generative adversarial networks for speech enhancement”. Mathematical Engineering, 6th Semester.
    Casper Benjamin Andersen, Barbara Martinovic, Jacob Johansen
  • “Conditional generative adversarial networks for speech processing”. Vision, Graphics and Interactive Systems, Master thesis project.
    Daniel Michelsanti

Student project topics within CASPR:

If you are interested in doing a semester project (preferably 7. – 10. semester) with us, and you are already enrolled at Aalborg University, then feel free to contact us. Note that currently we do not have any internship positions available.

Technical disciplines such as statistical signal processing, information theory, or machine learning will typically be used in projects in CASPR. Examples of research topics for semester projects are provided below:

  • Statistical signal processing for hearing assistive devices.
  • Deep learning for speech enhancement.
  • Machine learning including deep learning for speech processing and classification.
  • Statistical signal processing that compensates or complements the auditory system.
  • Acoustic echo and feedback cancellation in wireless environments.
  • Speech and audio compression for wireless networks.
  • Information theory and the human auditory system.
  • Multi- modal signal processing for hearing assistive devices