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Real-Time Bayesian GSM Buzz Removal

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If you have a question about this talk, please contact Taylan Cemgil.

I am mainly going to present the slides I presented at DAFX 2006 on GSM Buzz Removal. I will also touch on alittle bit on my latest research on temporal masking and active noise canceling audio restoration if we have time. an autoregressive (AR) model with modeling of the noise pulse template to detect and restore Cell-phone electromagnetic interference (EMI) patterns known as “GSM buzz”. The algorithm is purely software based and does not require the aid of any hardware providing side information. The only assumption is that individual pulses are similar to scaled versions of the known template. With this assumption, the algorithm can fully detect and restore noisy interference signals in real time with almost no audible artifacts and improve the signal to noise ratio by as much as 50dB.
In this paper we propose an iterative audio restoration algorithm based on

This talk is part of the Audio and Music Processing (AMP) Reading Group series.

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