Abstract
The aim of the presented research is to develop and to test some digital signal processing systems applicable to modern telecommunications. A special feature of the elaborated systems is the improvement in performance of audio signal processing algorithms obtained through the use of some soft computing methods based on rough sets, fuzzy logic and neural networks. The engineered and tested digital signal processing systems enabled some comparative studies of the effectiveness of algorithms based on soft computing. The results of speaker-independent recognition of digits and of noise removal from speech and music signals will be presented. Some general conclusions concerning the application of intelligent decision systems to real-time signal processing will be added.
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References
Czyzewski, A., Kaczmarek, A.: Multilayer knowledge base system for speaker-independent recognition of isolated words. In: W. Ziarko (ed.): Rough Sets, Fuzzy Sets and Knowledge Discovery (RSKD’93). Workshops in Computing, Springer-Verlag & British Computer Society, London, Berlin (1994) 387–394
Bon, K. Sy, Horowitz, M.: A statistical causal model for the assessment of dysarthric speech and the utility of computer-based speech recognition. In: IEEE Trans. on Biomed. Eng. 40/12 (1993)
Zhao, Z.: A rough set approach to speech recognition. The Master Thesis guided by W. Ziarko, Dept. of Computer Science, Regina University, Regina, Saskatchewan (1992)
McAulay, R.J., Quatieri, T.F.: Speech analysis synthesis based on a sinusoidal representation. In: IEEE Trans. Acoust., Speech, Signal Processing 34 (1986)
Czyzewski, A.: Some methods for detection and interpolation of impulsive distortions in old audio recordings. In: IEEE ASSP Workshop on Application of Signal Processing to Audio and Acoustics, New York, USA (1995)
Czyzewski, A., Królikowski, R.: Simultaneous noise reduction and data compression in old audio recordings. In: 101st Audio Engineering Society Convention 4337, Los Angeles, November (1996)
Czyzewski, A., Kaczmarek, A.: Speech recognition based on rough sets and neural networks. In: T.Y. Lin, A.M. Wildberger (eds.): Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management, Knowledge Discovery, Simulation Councils, Inc., San Diego, CA (1995) 97–100
Czyzewski, A.: Speaker-independent recognition of digits - experiments with neural networks, fuzzy logic and rough sets. In: Journal of Intelligent Automation and Soft Computing (Autosoft) 2/2 (1996) 133–146
Kostek, B.: Rough set and fuzzy set methods applied to acoustic analyses. In: Journal of Intelligent Automation and Soft Computing (Autosoft) 2/2 (1996) 147–160
Czyzewski, A.: Mining knowledge in noisy audio data. In: E. Simoudis, J. Han, and U. Fayyad (eds.), Second International Conference on Knowledge Discovery and Data Mining, Proceedings (KDD’96), August 2–4, Portland, Oregon, USA, AAAI Press, Menlo Park (1996) 220–225
Czyzewski, A., Krolikowski, R.: New methods of intelligent filtration and coding of audio. In: 102nd Audio Engineering Society Convention 4482, Munich, Germany (1997)
Czyzewski, A., Kostek, B.: Rough set-based filtration of sound applicable to hearing prostheses. In: S. Tsumoto, S. Kobayashi, T. Yokomori, H. Tanaka, and A. Nakamura (eds.): Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery (RSFD’96), The University of Tokyo, November 6–8 (1996) 168–175
Pena, A.S.: A theoretical approach to a generalized auditory model for audio coding and objective perceptual assessment. In: 96th AES Convention 3802, Amsterdam (1994)
Czyzewski, A.: Artificial intelligence-based processing of old audio recordings. In: 97th Audio Engineering Society Convention 3885, San Francisco (1994)
Nguyen, H.S., Nguyen, S.H.: Discretization of real value attributes for control problems. In: Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing (EUFIT’96), September 2–5, Aachen, Germany, Verlag Mainz, Aachen (1996) 188–191
McAulay, R.J., Quatieri, T.F.: Speech analysis synthesis based on a sinusoidal representation. In: IEEE Trans. Acoust., Speech, Signal Processing 34 (1986)
Czyzewski, A.: New learning algorithms for the processing of old audio recordings. In: 99th Audio Engineering Society Convention 4078, New York (1995)
Czyzewski, A., Krolikowski, R., Application of intelligent decision systems to the perceptual noise reduction of audio signals. In: Proceedings of the Fifth European Congress on Intelligent Techniques and Soft Computing (EUFIT’97), September 8–11, Aachen, Germany, Verlag Mainz, Aachen (1997) 188–192
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Czyżewski, A. (1998). Soft Processing of Audio Signals. In: Polkowski, L., Skowron, A. (eds) Rough Sets in Knowledge Discovery 2. Studies in Fuzziness and Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1883-3_8
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DOI: https://doi.org/10.1007/978-3-7908-1883-3_8
Publisher Name: Physica, Heidelberg
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