Filtered dynamics and fractal dimensions for noisy speech recognition

IEEE Signal Processing Letters

Volumn 13, Issue 11, 2006, Pages 711-714

  Pitsikalis, Vassilis ^a   Maragos, Petros ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Automatic speech recognition (ASR); Filtered embedding; Fractal dimension; Phoneme classification

Indexed keywords

ACOUSTIC NOISE; ACOUSTIC SIGNAL PROCESSING; FRACTALS; SIGNAL FILTERING AND PREDICTION; SIGNAL TO NOISE RATIO; SPEECH PROCESSING;

AUTOMATIC SPEECH RECOGNITION (ASR); FILTERED EMBEDDING; FRACTAL DIMENSIONS; MEL-FREQUENCY CEPSTRAL COEFFICIENTS;

SPEECH RECOGNITION;

EID: 33750102668     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.879424     Document Type: Article

References (16)

1. H. M. Teager and S. M. Teager, "Evidence for nonlinear sound production mechanisms in the vocal tract," Speech Prod. Speech Model., NATO ASI Ser. D, vol. 55, 1989.
2. H. G. Hirsch and D. Pearce, "The aurora experimental framework for the performance evaluations of speech recognition systems under noisy conditions," in Proc. ISCA ITRW ASR, Paris, France, Sep. 2000.
3. P. Maragos, A. G. Dimakis, and I. Kokkinos, "Some advances in nonlinear speech modeling using modulations, fractals and chaos," in Proc. DSP, Santorini, Greece, Jul. 2002.
4. B. Mandelbrot, The Fractal Geometry of Nature. San Francisco, CA: Freeman, 1982.
5. P. Maragos and A. Potamianos, "Fractal dimensions of speech sounds: Computation and application to automatic speech recognition," J. Acoust. Soc. Amer., vol. 105, no. 3, pp. 1925-1932, 1999.
6. M. T. Johnson, R. J. Povinelli, A. C. Lindgren, J. Ye, X. Liu, and K. M. Indrebo, "Time-domain isolated phoneme classification using reconstructed phase spaces," IEEE Trans. Speech Audio Process., vol. 13, no. 4, pp. 458-466, Jul. 2005.
7. M. Banbrook, S. McLaughlin, and I. Mann, "Speech characterization and synthesis by nonlinear methods," IEEE Trans. Speech Audio Process., vol. 7, no. 1, pp. 1-17, Jan. 1999.
8. S. Narayanan and A. Alwan, "A nonlinear dynamical systems analysis of fricative consonants," J. Acoust. Soc. Amer., vol. 97, no. 4, pp. 2511-2524, 1995.
9. H. D. I. Abarbanel, Analysis of Observed Chaotic Data. New York: Springer-Verlag, 1996.
10. V. Pitsikalis and P. Maragos, "Speech analysis and feature extraction using chaotic models," in Proc. ICASSP, Orlando, FL, 2002.
11. P. Grassberger and I. Procaccia, "Measuring the strangeness of strange attractors," Physica D, vol. 9, pp. 189-208, 1983.
12. T. Sauer, "A noise reduction method for signals from nonlinear systems," Physica D, vol. 58, pp. 193-201, 1992.
13. R. Cawley and G. H. Hsu, "Local-geometric projection method for noise reduction in chaotic maps and flows," Phys. Rev. A, vol. 46, pp. 3057-3082, 1992.
14. A. G. Darbyshire and D. S. Broomhead, "Robust estimation of tangent maps and Lyapunov spectra," Physica D, vol. 89, pp. 287-305, 1996.
15. R. Hegger, H. Kantz, and L. Matassini, "Denoising human speech signals using chaoslike features," Phys. Rev. Lett., vol. 84, no. 14, pp. 3197-3200, 2000.
16. D. Dimitriadis, P. Maragos, and A. Potamianos, "Robust AM-FM features for speech recognition," IEEE Signal Process. Lett., vol. 12, no. 9, pp. 621-624, Sep. 2005.