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Neural Network Based Adaptive Microphone Array System for Speech Enhancement

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Author

  • Nedelko Grbic
  • Mattias Dahl
  • Ingvar Claesson

Summary, in English

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

Publishing year

1998

Language

English

Pages

2180-2183

Publication/Series

The 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence.

Volume

3

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Signal Processing

Conference name

The 1998 IEEE International Joint Conference on Neural Networks. IEEE World Congress on Computational Intelligence

Conference date

1998-05-04 - 1998-05-09

Conference place

Anchorage, AK, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-4859-1