INTERNAL NOISE REDUCTION USING PIEZOELECTRIC DEVICE UNDER BLIND CONDITION

M. Matsumoto and S. Hashimoto

References

  1. [1] W. Li, C. Miyajima, T. Nishino, K. Itou, K. Takeda, & F. Itakura, Adaptive nonlinear regression using multiple distributed microphones for in-car speech recognition, IEICE Transactions on Fundamentals, E88-A(7), 2005, 1716–1723.
  2. [2] A. Wang, K. Yao, R.E. Hudson, D. Korompis, & F. Lorenzelli, Microphone array for hearing aid and speech enhancement applications, International Conference on Application-Specific Systems, Architectures, and Processors, IL, USA, 1996, 231– 239.
  3. [3] A. Ito, T. Kanayama, M. Suzuki, & S. Makino, Internal noise suppression for speech recognition by small robots, Proc. of Interspeech, Lisboa, Portugal, 2005, 2685–2688.
  4. [4] M. Matsumoto & S. Hashimoto, Noise reduction combining microphones and piezoelectric devices, Proc. of International Symposium on Communications, Control and Signal Processing, St. Julians, Malta, 2008, 368–371.
  5. [5] T.S. Ho, H. Matsuhisa, & Y. Honda, Passive vibration suppression of beams by piezoelectric elements, Transactions of the Japan Society of Mechanical Engineers C, 66(643), 2000, 737–743.
  6. [6] P.D. O’Grady, B.A. Pearlmutter, & S.T. Rickard, Survey of sparse and non-sparse methods in source separation, International Journal of Imaging Systems and Technology, 15, 2005, 18–33.
  7. [7] http://www.mibel.cs.tsukuba.ac.jp/jnas/.
  8. [8] M. Matsumoto & S. Hashimoto, Internal noise reduction from dependent signal mixtures using microphones and a piezoelectric device under blind condition, Journal of the Acoustical Society of America, 125(3), 2009, 1518–1528.

Important Links:

Go Back