P Kendrick
Automatic detection of microphone handling noise
Kendrick, P; Cox, TJ; Li, FF; Fazenda, BM; Jackson, IR
Authors
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
FF Li
Dr Bruno Fazenda B.M.Fazenda@salford.ac.uk
Reader
IR Jackson
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.
Citation
Kendrick, P., Cox, T., Li, F., Fazenda, B., & Jackson, I. (2014, May). Automatic detection of microphone handling noise. Presented at 4th International Workshop on Cognitive Information Processing, Copenhagen, Denmark
Presentation Conference Type | Other |
---|---|
Conference Name | 4th International Workshop on Cognitive Information Processing |
Conference Location | Copenhagen, Denmark |
Start Date | May 26, 2014 |
End Date | May 28, 2014 |
Online Publication Date | Jun 26, 2014 |
Publication Date | May 26, 2014 |
Deposit Date | Apr 8, 2015 |
Book Title | 2014 4th International Workshop on Cognitive Information Processing (CIP) |
ISBN | 9781479936960 |
DOI | https://doi.org/10.1109/CIP.2014.6844501 |
Publisher URL | http://dx.doi.org/10.1109/CIP.2014.6844501 |
Related Public URLs | http://cip2014.conwiz.dk/home.htm |
Additional Information | Event Type : Workshop |
You might also like
Improving the measurement and acoustic performance of transparent face masks and shields
(2022)
Journal Article
Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing
(2021)
Journal Article
Using scale modelling to assess the prehistoric acoustics of stonehenge
(2020)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search