Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
In-Ear Microphone Techniques for Severe Noise Situations
Responsible organisation
2005 (English)Report (Other academic)
Abstract [en]

Today, noise reduction methods are nearly ubiquitous although often not noticed by laymen. Cellular phones, some hands-free headsets and ear-phones offered by some airlines during long haul flights all utilize noise reduction algorithms. However, there are some situations in everyday life where ordinary noise reduction algorithms do not suffice; situations where the surrounding noise sound pressure level is too high to be efficiently attenuated by ordinary algorithms. Personal communication is then partly or totally prohibited by this noise. Examples of such situations may be motorcycle riding or attending a concert. In addition, many occupations, foremost industrial work, expose people to very high sound pressure levels. Still, these people need to be able to communicate safely. This report describes a technique where an ear-mic, i.e. a small microphone for communication purposes, is placed inside the auditory canal where it picks up bone conducted speech from the user's speech organ. The report describes three different approaches and usage areas: First, a basic approach where combination effects of an ear-mic and a pair of Active Noise Control (ANC) equipped ear-muffs are investigated. Second, this approach is used to improve a speech recognition system. The third approach is to connect a well-known noise reduction algorithm - the spectral subtraction - in cascade with the previously described ear-mic/ANC-solution in order to achieve extreme noise suppression.

Place, publisher, year, edition, pages
2005.
Series
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 12
Keyword [en]
Speech Enhancement, Active Noise Control
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-00283Local ID: oai:bth.se:forskinfo77E65028C9054B6DC12570BB002CC582OAI: oai:DiVA.org:bth-00283DiVA: diva2:837857
Available from: 2012-09-18 Created: 2005-11-16 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(555 kB)169 downloads
File information
File name FULLTEXT01.pdfFile size 555 kBChecksum SHA-512
8cfefe0f6e96e20050359199d286392b6abbce2f9ce654129c2b9992a643d2ef84f5eff0e805641abd02601cbd4eb1ac90e56fddbe4c035a2cc3e52ea46566ed
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Dahl, MattiasClaesson, Ingvar
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 169 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 129 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf