Anthropometric-based customization of head-related transfer functions using Isomap in the horizontal plane

Felipe Grijalva, Luiz Martini, Siome Goldenstein, Dinei Florencio

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

22 Citas (Scopus)

Resumen

In this paper, we introduce a new anthropometric-based method for customizing of Head-Related Transfer Functions (HRTF) in the horizontal plane. The method uses Isomap, artificial neural networks (ANN), and a neighborhood-based reconstruction procedure. We first modify Isomap's graph construction step to emphasize the individuality of HRTFs and perform a customized nonlinear dimensionality reduction of the HTRFs. We then use an ANN to model the nonlinear relationship between anthropometric features and our low-dimensional HRTFs. Finally, we use a neighborhood-based reconstruction approach to reconstruct the HRTF from the estimated low-dimensional version. Simulations show that our approach performs better than PCA and confirm that Isomap is capable of discovering the underlying nonlinear relationships of sound perception.

Idioma originalInglés
Título de la publicación alojada2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4473-4477
Número de páginas5
ISBN (versión impresa)9781479928927
DOI
EstadoPublicada - 2014
Publicado de forma externa
Evento2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italia
Duración: 4 may. 20149 may. 2014

Serie de la publicación

NombreICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (versión impresa)1520-6149

Conferencia

Conferencia2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
País/TerritorioItalia
CiudadFlorence
Período4/05/149/05/14

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