Search Results for author: Peter Balazs

Found 2 papers, 0 papers with code

Separating and denoising seismic signals with dual-path recurrent neural network architecture

no code implementations24 Nov 2020 Artemii Novoselov, Peter Balazs, Götz Bokelmann

We show that separation is possible also for seismic recordings, using techniques from machine learning (and even those recorded with a single sensor).<br />This may have an impact on seismic applications such as <br />ambient noise tomography, induced seismicity, earthquake analysis, aftershock analysis, nuclear verification, and seismoacoustics/infrasound.<br />The machine learning technique that we use for seismic signal separation is based on a dual-path recurrent neural network which is applied directly to the time domain data.

Denoising Transfer Learning

Inpainting of long audio segments with similarity graphs

no code implementations22 Jul 2016 Nathanael Perraudin, Nicki Holighaus, Piotr Majdak, Peter Balazs

We present a novel method for the compensation of long duration data loss in audio signals, in particular music.

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