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Neural Network Based Adaptive Microphone Array System for Speech Enhancement
Responsible organisation
1998 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Presents a microphone array system for use in handsfree mobile telephone equipment. The array is based on a fast and efficient “on-site” and “self- calibration” scheme. The performance in suppressing the interior car cabin noise and the far-end speech is approximately 17 dB, respectively, while maintaining the near-end speaker level. The near-end signal is almost undistorted. The performance of two different algorithms, normalized least-mean-square (NLMS) and fully connected backpropagation supervised neural network (MLP-NN) are evaluated. The proposed microphone array calibration scheme can also be used in other situations such as speech recognition devices.

Place, publisher, year, edition, pages
Anchorage, USA, 1998.
Keyword [en]
acoustic transducer arrays, adaptive filters, backpropagation, calibration, echo suppression, land mobile radio, least mean squares methods, microphones, multilayer perceptrons, radio equipment, speech enhancement, telecommunication computing
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-9539ISI: 000074493400397Local ID: oai:bth.se:forskinfoCCD949AF83804A36C1256C6A004A623DISBN: 0-7803-4859-1 (print)OAI: oai:DiVA.org:bth-9539DiVA: diva2:837410
Conference
IEEE World Congress on Computational Intelligence
Available from: 2012-09-18 Created: 2002-11-07 Last updated: 2015-06-30Bibliographically approved

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