Automatic detection of microphone handling noise

Kendrick, P ORCID: https://orcid.org/0000-0002-0714-183X, Cox, TJ ORCID: https://orcid.org/0000-0002-4075-7564, Li, FF, Fazenda, BM ORCID: https://orcid.org/0000-0002-3912-0582 and Jackson, IR 2014, Automatic detection of microphone handling noise , in: 4th International Workshop on Cognitive Information Processing, May 26-28, 2014, Copenhagen, Denmark.

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Abstract

Microphone handling noise is a common problem with user generated content. It can occur when the operator inadvertently knocks or brushes a recording device. Handling noise may be impulsive, where a microphone is knocked, or a more sustained rubbing noise, when the microphone is brushed against something. A detector able to accurately detect handling noises caused by rubbing while recording speech, music or quotidian sounds has been developed. Ensembles of decision trees were trained to classify handling noise level over 23 ms frames; a second ensemble flags frames when the noise may be masked by foreground audio. Aggregation of the detection over 1 s yielded a Matthews correlation coefficient of 0.91.

Item Type:	Conference or Workshop Item (Paper)
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Publisher:	IEEE
Refereed:	Yes
Related URLs:	Organisation
Funders:	Engineering and Physical Sciences Research Council (EPSRC)
Depositing User:	P Kendrick
Date Deposited:	08 Apr 2015 12:30
Last Modified:	21 Nov 2018 19:33
URI:	http://usir.salford.ac.uk/id/eprint/34095

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