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Foto: Universität Paderborn, Jörg Ullmann Bildinformationen anzeigen
Foto: Universität Paderborn, Jörg Ullmann Bildinformationen anzeigen
Foto: Universität Paderborn, Jörg Ullmann Bildinformationen anzeigen

Foto: Universität Paderborn, Jörg Ullmann

Foto: Universität Paderborn, Jörg Ullmann

Foto: Universität Paderborn, Jörg Ullmann

Project groups on Acoustic Sensor Networks

Acoustic sensor networks are a new and exciting research topic. Processing non-synchronously sampled multi-channel signals is a challenging task. The current project group will focus on methods for processing signals from spatially distributed acoustic sensor nodes.

In previous project groups we have sucessfully developed sensor nodes based on Rasperry Pi's Model 3b+. This tiny but powerfull device are connected via an AD-HOC network and form together our signal processing platform. Futhermore we have setup a software framework called MARVELO which eases the process of task and algorithm distribution.

The promoted project group can focus on implementing algorithms, e.g.,  for localizing  speakers, enhancing signals and identifiying acoustic events, just to name  a few possible tasks. The requirements are as follows:

  • You shoud be able to read and write Python Code.
  • You have an idea what discrete signals are and how to process them in a block-oriented fashion

You have further questions? Connact us via Email or visit us at our offices any time. The responsible contact person you find on the right side.

Project Outline

  • Phase 0: Project coordination meeting, task assignement
  • Phase 1: Selecting algorithms and paper reading
  • Phase 2: Implementation of first prototypes
  • Phase 3: Online testing on Raspberry PI network
  • Phase 4: Bugfixing & Optimization
  • Phase 5: Real-World tests
  • Phase 6: Documentation & Presentation

L.048.28501 Communications and Speech Processing (Project)

Vorbesprechung Mo. 16. Juli 2017, 16:15 Uhr in (Raum noch nicht bekannt)

Ansprechpartner

Dr.-Ing. Jörg Schmalenströer

Nachrichtentechnik (NT)

(Auftrags-)Forschung & Lehre

Jörg Schmalenströer
Telefon:
+49 5251 60-3623
Fax:
+49 5251 60-3627
Büro:
P7.2.05
Web:

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