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Promotions-Vortrag: Wind Noise Reduction – Signal Processing Concepts –
Dipl.-Ing. Christoph Nelke
10. Mai 2016
11:00 Uhr
Hörsaal 4G IKS
Mobile communication devices, such as mobile phones, tablet computers, or hearing aids, can be used in a large variety of every-day situations. Acoustic background noise signals, which are picked up with the desired speech signal, can impair the signal quality and the intelligibility of a conversation. A special noise type is generated outdoors, if the microphone is exposed to a wind stream resulting in strong-rumbling noise, which is highly in-stationary. As a result, conventional approaches for speech enhancement fail in the case of noise induced by wind turbulences.
This thesis is focused on the development of signal processing concepts, which reduce the undesired effects of wind noise. The key contributions are:
• Signal analysis of wind noise in single and dual microphone devices
• Digital signal model for wind noise generation
• Signal processing algorithms for detection and reduction of wind noise signals.
All these topics are considered with the focus on the development of algorithms for systems equipped with a single or more microphones.
Objective measures and informal listening tests indicate a significant increase of both the signal-to-noise ratio and the speech intelligibility. Besides, two application examples show that the proposed methods are very efficient and robust in realistic scenarios.
