Optimal and Adaptive Microphone Arrays for Speech Input in Automobiles
(2001) In Digital Signal Processing p.307-329- Abstract
- In this chapter, speech enhancement and echo cancellation for hands-free mobile telephony are discussed. A number of microphone array methods have been tested and results from car measurements are given. Traditional methods such as linearly constrained beamforming and generalized sidelobe cancelers are discussed as well as array gain optimization methods. An in situ calibrated method which gives an overall improved performance is also presented. Algorithms such as Least-Squares (LS) and Normalized-Least-Mean-Squares (NLMS) are used to find optimal weights. Improved performance using an LS-method is shown, but at the cost of increased numerical complexity limiting its implementation in real-time applications. By introducing subband... (More)
- In this chapter, speech enhancement and echo cancellation for hands-free mobile telephony are discussed. A number of microphone array methods have been tested and results from car measurements are given. Traditional methods such as linearly constrained beamforming and generalized sidelobe cancelers are discussed as well as array gain optimization methods. An in situ calibrated method which gives an overall improved performance is also presented. Algorithms such as Least-Squares (LS) and Normalized-Least-Mean-Squares (NLMS) are used to find optimal weights. Improved performance using an LS-method is shown, but at the cost of increased numerical complexity limiting its implementation in real-time applications. By introducing subband processing this issue can be avoided. The results show a noise suppression of approximately 18 dB and hands-free loudspeaker suppression of the same order. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f8c47408-6271-447b-b403-6be62074201f
- author
- Nordholm, Sven ; Claesson, Ingvar LU and Grbic, Nedelko LU
- publishing date
- 2001
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Microphone Arrays : Signal Processing Techniques and Applications - Signal Processing Techniques and Applications
- series title
- Digital Signal Processing
- editor
- Brandstein, Michael and Ward, Darren
- pages
- 23 pages
- publisher
- Springer
- ISSN
- 1612-1457
- ISBN
- 978-3-662-04619-7
- 978-3-540-41953-2
- 978-3-642-07547-6
- DOI
- 10.1007/978-3-662-04619-7_14
- language
- English
- LU publication?
- no
- id
- f8c47408-6271-447b-b403-6be62074201f
- date added to LUP
- 2016-06-23 17:26:04
- date last changed
- 2019-09-27 13:07:34
@inbook{f8c47408-6271-447b-b403-6be62074201f, abstract = {{In this chapter, speech enhancement and echo cancellation for hands-free mobile telephony are discussed. A number of microphone array methods have been tested and results from car measurements are given. Traditional methods such as linearly constrained beamforming and generalized sidelobe cancelers are discussed as well as array gain optimization methods. An in situ calibrated method which gives an overall improved performance is also presented. Algorithms such as Least-Squares (LS) and Normalized-Least-Mean-Squares (NLMS) are used to find optimal weights. Improved performance using an LS-method is shown, but at the cost of increased numerical complexity limiting its implementation in real-time applications. By introducing subband processing this issue can be avoided. The results show a noise suppression of approximately 18 dB and hands-free loudspeaker suppression of the same order.}}, author = {{Nordholm, Sven and Claesson, Ingvar and Grbic, Nedelko}}, booktitle = {{Microphone Arrays : Signal Processing Techniques and Applications}}, editor = {{Brandstein, Michael and Ward, Darren}}, isbn = {{978-3-662-04619-7}}, issn = {{1612-1457}}, language = {{eng}}, pages = {{307--329}}, publisher = {{Springer}}, series = {{Digital Signal Processing}}, title = {{Optimal and Adaptive Microphone Arrays for Speech Input in Automobiles}}, url = {{http://dx.doi.org/10.1007/978-3-662-04619-7_14}}, doi = {{10.1007/978-3-662-04619-7_14}}, year = {{2001}}, }