1.    Zou D Y, Li L. Research on robust speech feature parameter extraction in colored noise environment. Computer Simulation, 2011, 28(5): 395-398 (in Chinese)

  2.    Hung J W, Tu W H, Lai C C. Improved modulation spectrum enhancement methods for robust speech recognition. Signal Processing, 2012, 92(11): 2791-2814

  3.    Lü Z. Study of speech recognition algorithm under noise environment. Hefei, China: Anhui University, 2011: 57-60 (in Chinese)

  4.    Shajith I, Hemant M, Hynek H, et al. Phase auto correlation (PAC) features noise robust speech recognition. Speech Communication, 2012, 54(7): 867-880

  5.    Zhao H, Zhao K, Liu H, et al. Improved MFCC feature extraction combining symmetric ICA algorithm for robust speech recognition. Journal of Multimedia, 2012, 7(1): 74-81

  6.    Lü Y, Wu Z Y. Robust speech recognition based on vector taylor series. Journal of Tianjin University, 2011, 44(3): 261-265 (in Chinese)

  7.    Lei J J. A study of several problems on noise robust speech recognition. Beijing: Beijing University of Posts and Telecommunications, 2007: 12-26 (in Chinese)

  8.    Patrice A, Philip L. Root cepstral analysis: a unified view. application to speech processing in car noise environments. Speech Communication, 1993, 12(3): 277-288

  9.    Cai L H, Huang D Z, Cai R. The foundation and application of modern speech technology. Beijing, China: Tsinghua University Press, 2003: 233-237 (in Chinese)

10.    Luo Y, Huang H, Zhang Y, et al. A novel endpoint detection method and its application on human-computer interaction of intelligent wheelchair. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2011, 23(2): 86-90 (in Chinese)

11.    Ning G X. Research on novel robust speech recognition. Guangzhou, China: South China University of Technology, 2006: 31-34 (in Chinese)

12.    Ding P. Noise robust technologies in speech recognition. Beijing, China: Tsinghua University, 2003: 32-40 (in Chinese)

13.    Long Q. Research on speech recognition in noisy environment. Hefei, China: University of Science and Technology of China, 2007: 81-85 (in Chinese)

14.    Zhang L. The research of robust speech recognition in noise environment based on MFCC. Changsha, China: Hunan University, 2009: 21-26 (in Chinese)

15.    Chu K K. Feature extraction based on perceptual non-uniform spectral compression for noisy speech recognition. Hong Kong, China: City University of Hong Kong, 2005: 82-91

16.    Chu K K, Leung S H, Yip C S. Perceptually non-uniform spectral compression for noisy speech recognition. Proceedings of the 28th International Conference on Acoustics, Speech, and Signal Processing (ICASSP’03): Vol 1, Apr 6-10, 2003, Hong Kong, China. Piscataway, NJ, USA: IEEE: 404-407

17.    Strvens S S. The direct estimation of sensory magnitudes: Loudness. The American Journal of Psychology, 1956, 69(1): 1-25

18.    Hartmann W M. Signals, sounds, and sensation. Berlin, Germany: Springer-Verlag, 1997: 238-256