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Subarea: Sound and Vibration

Priority Research Area: Artificial Intelligence and Data Processing


Sound and Vibration

Sound and vibration analysis and proessing is a large research area, including diverse research fields such as: musical sound processing and feature extraction, acoustic field analysis, sound processing and coding, linear predictive speech coding, noise reduction in recordings, speaker identification, sound direction of arrival estimation, automatic voice recognition, beamforming, sound synthesis, echolocation, active control of sound and vibration, machinery vibration analysis, or use of sound and vibration for mechanical systems diagnostics and remaining useful life estimation. All these fields are described here under a common header “Sounds and Vibrations”.

The research concentrates on classic digital signal processing algorithms development as well as on the common meaning of artificial intelligence and machine learning (i.e. optimization strategies and classification methods), but also includes modern techniques of deep learning.

Selected problems include:

  • musical information retrieval,
  • digital sound and vibration processing,
  • theoretical analysis of adaptation algorithms,
  • sound and vibration control,
  • ultrasound processing,
  • voice biometry,
  • machinery diagnostics based on vibroacoustic signals.

Research topics

Musical information retrieval

Vibroacoustic diagnostics of technical objects

Theoretical analysis of adaptation algorithms

Sound and vibration control

Ultrasound processing

Synthesis and generation of random fields

Voice biometrics

Modern systems for vibration measurements

The coordinator: dr hab. inż. Dariusz Bismor, prof. Pol. Śl.

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