Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
A Hybrid Design Of Beamformers For Voice Control Devices
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
2012 (English)In: Pacific Journal of Optimization, ISSN 1348-9151, E-ISSN 1349-8169, Vol. 8, no 3, 533-544 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a new approach to designing beamformers for voice control device is proposed. It is well-known that under a strong near-field noise with low signal-to-noise ratios (SNR), the performance of speech recognition is deteriorated significantly. However, designing the beamformer for enhancing speech recognition is a slow process and might not be adapted easily to the changing noise environment. In order to lower the complexity of the design, we intend to exploit the combination of existing optimal beamformer designs, which can be implemented in parallel. These include the least-squares technique and the signal-to-noise ratio maximization technique. We show here that for a given pre-trained speech recognizer and for a finite set of speech commands, neither method has a satisfactory performance in speech recognition accuracy under very low SNRs. However, since the two techniques have different characteristics in speech distortion and noise suppression, we show that it is possible to enhance the speech recognition accuracy by combining these two optimal designs.

Place, publisher, year, edition, pages
Yokohama publishing , 2012. Vol. 8, no 3, 533-544 p.
Keyword [en]
beamformer, microphone array, multi-channel filter, signal enhancement, speech recognition, noise reduction
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-7169ISI: 000307426100010Local ID: oai:bth.se:forskinfoEC8FF080CAD7791DC1257AC300469D61OAI: oai:DiVA.org:bth-7169DiVA: diva2:834751
Available from: 2012-11-27 Created: 2012-11-27 Last updated: 2017-03-17Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Grbic, Nedelko
By organisation
Department of Signal Processing
In the same journal
Pacific Journal of Optimization
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Total: 36 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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