Robust ASR Based on ETSI Advanced Front-End Using Complex Speech Analysis
Author:
Affiliation:
1. Graduate School of Engineering and Science, University of the Ryukyus
2. C & N Center, University of the Ryukyus
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E98.A/11/E98.A_2211/_pdf
Reference22 articles.
1. [1] S. Boll, “Suppression of acoustic noise in speech using spectral subtraction,” IEEE Trans. Acoust., Speech, Signal Process., vol.27, no.2, pp.113-120, 1979.
2. [2] J.S. Lim and A.V. Oppenheim, “All-pole modeling of degraded speech,” IEEE Trans. Acoust., Speech, Signal Process., vol.26, no.3, pp.197-210, 1978.
3. [3] J.H.L. Hansen and M.A. Clements, “Constrained iterative speech enhancement with application to speech recognition,” IEEE Trans. Signal Process., vol.39, no.4, pp.795-805, April 1991.
4. [4] Y. Ephraim and D. Malah, “Speech enhancement using a minimum mean-square error log-spectral amplitude estimator,” IEEE Trans. Acoust., Speech, Signal Process., vol.33, no.2, pp.443-445, 1985.
5. [5] P.J. Moreno, B. Raj, and R.M. Stern, “A vector TAYLOR series approach for environment-independent speech recognition,” Proc. ICASSP96, pp.733-736, 1996.
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