HUMANOID BINAURAL HEARING: ADAPTIVE APPROACH

Fakheredine Keyrouz, Zouk Mosbeh

View Full Paper

References

  1. [1] J. A. MacDonald, “A localization algorithm based onhead-related transfer functions,” Journal of the Acous-tical Society of America, vol. 123, no. 6, pp. 4290–4296, 2008.
  2. [2] X. Wan and J. Liang, “Robust and low-complexity lo-calization algorithm based on head-related impulse re-sponses and interaural time difference,” Journal of theAcoustical Society of America, vol. 133, no. 1, pp. 40–46, 2013.
  3. [3] F. Keyrouz, Y. Naous, and K. Diepold, “A new methodfor binaural 3D localization based on HRTFs,” in pro-ceedings of IEEE Int. Conf. on Acoustics, Speech, andSignal Processing (ICASSP), Toulouse, France, May2006, pp. 341–344.
  4. [4] F. Keyrouz, “Advanced binaural sound localization in3D for humanoid robots,” IEEE Transactions on In-strumentation and Measurements, 2014. (Accepted forpublication).
  5. [5] J. Braasch, “Localization in the presence of a distracterand reverberation in the frontal horizontal plane,”ACUSTICA/acta acustica, vol. 88, pp. 956–969, 2002.
  6. [6] F. Keyrouz and K. Diepold, “Binaural source localiza-tion and spatial audio reproduction for telepresence ap-plications,” Presence: Teleoperators and Virtual Envi-ronments, Special Issue on High Fidelity TelepresenceII, Massachussetts Institute of Technology (MIT) Press,vol. 16, no. 5, pp. 509–522, 2007.
  7. [7] T. Zhang and C. Kuo, “Audio content analysis for on-line audiovisual data segmentation and classification,”IEEE Transactions on Speech Audio Processing, vol.9, no. 4, pp. 441–457, 2001.
  8. [8] F. Keyrouz, “Automatic self-reconfigurating micro-phones for humanoid dynamic hearing environments,”in Proc. IEEE International Symposium on Signal Pro-cessing and Information Technology, Dec 2007, pp.731–736.

Important Links:

Go Back