Real-time enhancement of electrolaryngeal speech by spectral subtraction

2012 National Conference on Communications, NCC 2012

Volumn , Issue , 2012, Pages

  Basha, S Khadar ^a   Pandey, Prem C ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Electrolaryngeal speech; Electrolarynx; Real time implementation; Spectral subtraction

Indexed keywords

ACOUSTIC ENERGY; BACKGROUND NOISE; DYNAMIC ESTIMATION; ELECTROLARYNX; FIXED-POINT DSP; INPUT BUFFERS; LARYNGECTOMY PATIENTS; REAL-TIME IMPLEMENTATIONS; SPECTRAL SUBTRACTIONS; VOCAL-TRACTS;

REAL TIME CONTROL; TISSUE; VIBRATORS;

SPEECH INTELLIGIBILITY;

EID: 84860822493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NCC.2012.6176807     Document Type: Conference Paper

References (20)

1. H. L. Barney, F. E. Haworth, and H. K. Dunn, "An experimental transistorized artificial larynx," Bell Systems Tech. J., vol. 38, No. 6, pp. 1337-1356, 1959.
2. M. Weiss, G. Y. Komshian, and J. Heinz, "Acoustical and perceptual characteristics of speech produced with an electronic artificial larynx," J. Acoust. Soc. Am., vol. 65, No. 5, pp. 1298-1308, 1979.
3. Q. Yingyong and B. Weinberg, "Low-frequency energy deficit in electrolaryngeal speech," J. Speech and Hearing Research, vol. 34, pp. 1250- 1256, 1991.
4. C. Y. Espy-Wilson, V. R. Chari, and C. B. Huang, "Enhancement of alaryngeal speech by adaptive filtering," in Proc. ICSLP, 1996, pp. 764-771.
5. th Int. Conf. Digital Signal Prcessing (DSP 2002), Santorini, Greece, 2002, pp. 591-594.
6. th Int. Congress on Acoustics, (ICA 2004), Kyoto, Japan, 2004, 3029-3032.
7. H. Liu, Q. Zhao, M. Wan, and S. Wang, "Application of spectral subtraction method on enhancement of electrolaryngeal speech,"J.Acoust. Soc. Am., vol. 120, pp. 398-406, 2006.
8. H. Liu, Q. Zhao, M. Wan and S. Wang, "Enhancement of electrolarynx speech based on auditory masking," IEEE Trans. Biomed. Eng., vol. 53, pp. 865-874, 2006.
9. P. Mitra and P.C. Pandey, "Enhancement of electrolaryngeal speech by spectral subtraction with minimum statistics-based noise estimation," (abstract), J. Acoust. Soc. Amer., vol. 120, p. 3039, 2006.
10. th Int. Conf. Machine Learning and Cybernetics, Kunming, China, 12-15 July, 2008.
11. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust., Speech, Signal Process., Vol. 27, No. 2, pp. 113-120, 1979.
12. M. Berouti, R. Schwartz, and J. Makhoul, "Enhancement of speech corrupted by acoustic noise," in Proc. IEEE ICASSP, 1979, pp. 208-211.
13. V. Stahl, A. Fisher, and R. Bipus, "Quantile based noise estimation for spectral subtraction and wiener filtering," in Proc. IEEE ICASSP, 2000, Vol. 3, pp. 1875-1878.
14. th Int. Conf. Digital Signal Processing (DSP 2002) Santorini, Greece, 2002, pp. 985-988.
15. th European Signal Processing Conf., EUSIPCO-94, Edinburgh, Scotland, 13-16 September 1994, pp. 1182-1185.
16. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech and Audio Processing, Vol. 9, No. 5, pp. 504-512, July 2001.
17. P. C. Pandey and S. K. Basha, "Enhancement of electrolaryngeal speech by spectral subtraction, spectral compensation, and introduction of jitter and shimmer," in Proc. 20th International Congress on Acoustics (ICA 2010), Sydney, Australia, 2010, Paper no. 670.
18. S. K. Basha, "Enhancement of electrolaryngeal speech", M.Tech. thesis, Electrical Engineering, Indian Institute of Technology Bombay, 2011.
19. Texas Instruments Inc., "TMS320C5515 Fixed-Point Digital Signal Processor," 2011, [online] Available: http://focus.ti.com/lit/ds/symlink/ tms320c5515.pdf.
20. Texas Instruments Inc., "TLV320AIC3204 Ultra Low Power Stereo Audio Codec," 2008, [online] Available: http://focus.ti.com/lit/ds/symlink/ tlv320aic3204.pdf.