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2019 | OriginalPaper | Buchkapitel

Recommender System as the Support for Binaural Audio

verfasst von : David Bernhauer, Tomáš Skopal

Erschienen in: Augmented Reality and Virtual Reality

Verlag: Springer International Publishing

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Abstract

Virtual reality devices nowadays can effectively utilise other senses besides vision, too. The most often used secondary sense is hearing with binaural audio as VR engine. Currently, practical usage of binaural audio as the source of VR is impossible because of the inaccuracy of a general model. On the contrary, measuring the personalised parameters can be time-consuming. Our task was to prove the possibility of reconstruction of the binaural audio parameters in domestic conditions. We have focused on the design of the user interface that can be used independently on the platform. Our proposed browser-based application uses collaborative filtering as a recommender system. We have proven that sound-based navigation in axial plane is possible with 6.6° inaccuracy. The gamification and browser-based implementation make it easier for all people to find the best possible parameters. The resulting profile can be used both with fully VR environment and with semi-VR games.

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Literatur
Zurück zum Zitat Algazi, V. R., Duda, R. O., Thompson, D. M., & Avendano, C. (2001). The CIPIC HRTF database. In 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (pp. 99–102). IEEE. Algazi, V. R., Duda, R. O., Thompson, D. M., & Avendano, C. (2001). The CIPIC HRTF database. In 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (pp. 99–102). IEEE.
Zurück zum Zitat Hosoe, S., Nishino, T., Itou, K., & Takeda, K. (2005, August). Measurement of head-related transfer functions in the proximal region. In Forum Acusticum (pp. 2539–2542). Hosoe, S., Nishino, T., Itou, K., & Takeda, K. (2005, August). Measurement of head-related transfer functions in the proximal region. In Forum Acusticum (pp. 2539–2542).
Zurück zum Zitat Lops, P., De Gemmis, M., & Semeraro, G. (2011). Content-based recommender systems: State of the art and trends. In Recommender systems handbook (pp. 73–105). Boston, MA: Springer. Lops, P., De Gemmis, M., & Semeraro, G. (2011). Content-based recommender systems: State of the art and trends. In Recommender systems handbook (pp. 73–105). Boston, MA: Springer.
Zurück zum Zitat Luo, Y., Zotkin, D. N., & Duraiswami, R. (2013, October). Virtual autoencoder based recommendation system for individualizing head-related transfer functions. In 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 1–4). IEEE. Luo, Y., Zotkin, D. N., & Duraiswami, R. (2013, October). Virtual autoencoder based recommendation system for individualizing head-related transfer functions. In 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 1–4). IEEE.
Zurück zum Zitat Plaskota, P., & Pruchnicki, P. (2014). Practical aspects of using HRTF measuring device. Archives of Acoustics, 31(4(S)), 439–444. Plaskota, P., & Pruchnicki, P. (2014). Practical aspects of using HRTF measuring device. Archives of Acoustics, 31(4(S)), 439–444.
Zurück zum Zitat Yamamoto, K., & Igarashi, T. (2017). Fully perceptual-based 3D spatial sound individualization with an adaptive variational autoencoder. ACM Transactions on Graphics (TOG), 36(6), 212.CrossRef Yamamoto, K., & Igarashi, T. (2017). Fully perceptual-based 3D spatial sound individualization with an adaptive variational autoencoder. ACM Transactions on Graphics (TOG), 36(6), 212.CrossRef
Zurück zum Zitat Zotkin, D. Y. N., Hwang, J., Duraiswaini, R., & Davis, L. S. (2003, October). HRTF personalization using anthropometric measurements. In 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 157–160). IEEE. Zotkin, D. Y. N., Hwang, J., Duraiswaini, R., & Davis, L. S. (2003, October). HRTF personalization using anthropometric measurements. In 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 157–160). IEEE.
Metadaten
Titel
Recommender System as the Support for Binaural Audio
verfasst von
David Bernhauer
Tomáš Skopal
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-06246-0_17

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