Individualized HRTFs from few measurements: A statistical learning approach

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2005, Pages 2041-2046

  Lemaire, V ^a   Clerot F ^a   Busson, S ^a   Nicol, R ^a   Choqueuse, V ^b  

^a FTRandD TECH SUSI TSI   (France)

^b UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; AUDIO SYSTEMS; AUDITION; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS;

STATISTICAL LEARNING APPROACH; STATISTICAL MODELING; VIRTUAL AUDITORY SPACE (VAS);

TRANSFER FUNCTIONS;

EID: 33750128965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556214     Document Type: Conference Paper

References (21)

1. Daniel Västfjäll Aleksander Väljamäe, Pontus Larsson and Mendel Kleiner. Auditory presence, individualized head-related transfer functions, and illusory ego-motion in virtual environments. Presence 2004, pages 141-147, 2004. http://www.presence2004.org.
2. V. R. Algazi, R. O. Duda, D. M. Thompson, and C. Avendano. The CIPIC HRTF database. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2001.
3. R.W.Peters B.C Moore. A revision of swiker's loudness model. Acta Acoustica, 1996.
4. A. W. Bronkhorst. Adapting head-related transfer functions to individual listeners. Journal of the Acoustical Society of America, 105:1036, 1999.
5. Anthony N. Burkitt. Refined pruning techniques for feed-forward neural networks. Complex Systems, 6:479-494, 1992.
6. Rick L. Jenison and Kate Fissell. A spherical basis function neural network for modeling auditory space. Neural Computation, 1996.
7. C. Jin, P. Leong, J. Leung, a. Corderoy, and S. Carlile. Enabling individualized virtual auditory space using morphological measurements. First IEEE Pacific-Rim Conf. on Multimedia, 1:235-238, 2000.
8. Y. Kahana. Numerical modelling of the head related transfer function. PhD thesis, University of Southampton, 2000.
9. G. S. Kendall. A 3-D sound primer: directional hearing and stereo reproduction. Computer Music Journal, 19:23-46, 1995.
10. D. J. Kistler and F. L. Wightman. A model of head-related transfer functions based on principle component analysis and minimum-phase reconstruction. Journal of the Acoustical Society of America, 91:1637-1647, 1992.
11. R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In International Joint Conference on Artificial Intelligence (IJCAI), 1995. http://robotics.Stanford.edu/users/ronnyk/.
12. Teuvo Kohonen. Self-organizing maps. In Springer Series in Information Sciences, volume 30. Springer, Berlin, Heildelberg, 1995.
13. V Larcher. Techniques de spatialisation des sons pour la réalité virtuelle. PhD thesis, Université de Paris VI, 2001.
14. V. Lemaire and F. Clérot. Som-based clustering for on-line fraud behaviour classification: a case study. Fuzzy Systems and Knowledge Discovery (FSKD), 2002.
15. P.H.W. Leong and S. Carlile. Methods for spherical data analysis and visualisation. Journal of Neuroscience Methods, 80, Issue 2:191-200, 1998.
16. G. Plenge. On the differences between localization and lateralization. Journal of the Acoustical Society of America, 56:944-951, 1974.
17. J.O Smith. Techniques for digital filtering design and system identification with the violin. PhD thesis, CCRMA, Stanford, 1983.
18. Juha Vesanto, Johan Himberg, Esa Alhoniemi, and Juha Parhankangas. SOM toolbox for Matlab 5. Report A57, Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland, April 2000. http://www.cis.hut.fi/ projects/somtoolbox/.
19. E.M. Wenzel, M. Arruda, D. Kistler, and F. L. Wightman. Localization using non-individualized head-related transfer functions. Journal of the Acoustical Society of America, 94:111-123, 1993.
20. H. White and K. Hornik. Multilayer feedforward networks are universal approximators. Neural Network, 2:359-366, 1989.
21. F. L. Wightman and D. J. Kistler. Headphone simulation of free-field listening I: stimulus synthesis and II: psychophysical validation. Journal of the Acoustical Society of America, 85:858-878, 1989.