Author:
Spalanzani Anne,Kabré Harouna
Publisher
Springer Berlin Heidelberg
Reference17 articles.
1. Allen J., B. & Berkley D. A.: Image Method for efficiently simulating small-room acoustics. JASA 65(4):943–950 (1979).
2. Bateman, D. C., Bye, D. K. & Hunt M. J.: Spectral normalization and other spectral technics for speech recognition in noise. In Proceedings of the IEEE International conference. on Acoustic Speech Signal Processing, (1)241–244. San Francisco (1992).
3. Belew, R. K., McInerney, J. & Schraudolph, N. N.: Evolving Networks: Using the Genetic Algorithm with Connectionist Learning. In Proc. Second Artificial Life Conference, pages 511–547, New York, (1991). Addison-Wesley
4. Das, S., Nadas, A., Nahamoo, D. & Picheny, M.: Adaptation techniques for ambient noise and microphone compensation in the IBM Tangora speech recognition system. In Proceedings of the IEEE International Conference On Acoustic Speech Signal Processing. (1)21–23. Adelaide, Australia (1994).
5. Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley Publishing Company, Inc (1989).
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Lamarckian vs Darwinian Evolution for the Adaptation to Acoustical Environment Change;Lecture Notes in Computer Science;2000
2. Efficient evaluation of reverberant sound fields;Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575)