Automatic extraction of pinna edges for binaural audio customization

Spagnol, Simone; Rocchesso, Davide; Geronazzo, Michele; Avanzini, Federico

doi:10.1109/mmsp.2013.6659305

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…where c is the speed of sound and approximated as fifth-order polynomial functions of the elevation angle F n i , i ϭ 1, 2, 3. The effectiveness of the multi-flash device in extracting pinna contours has been investigated in a previous work (Spagnol et al, 2013b). Results on 30 subjects revealed that the ear canal point is always correctly identified and that 93.3 per cent of the edge tracks are correctly extracted.…”

Section: Synthetic Individual Binaural Audio Deliverymentioning

confidence: 98%

Synthetic individual binaural audio delivery by pinna image processing

Spagnol

Geronazzo

Rocchesso

et al. 2014

International Journal of Pervasive Computing and Communications

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Purpose – The purpose of this paper is to present a system for customized binaural audio delivery based on the extraction of relevant features from a 2-D representation of the listener’s pinna. Design/methodology/approach – The most significant pinna contours are extracted by means of multi-flash imaging, and they provide values for the parameters of a structural head-related transfer function (HRTF) model. The HRTF model spatializes a given sound file according to the listener’s head orientation, tracked by sensor-equipped headphones, with respect to the virtual sound source. Findings – A preliminary localization test shows that the model is able to statically render the elevation of a virtual sound source better than non-individual HRTFs. Research limitations/implications – Results encourage a deeper analysis of the psychoacoustic impact that the individualized HRTF model has on perceived elevation of virtual sound sources. Practical implications – The model has low complexity and is suitable for implementation on mobile devices. The resulting hardware/software package will hopefully allow an easy and low-tech fruition of custom spatial audio to any user. Originality/value – The authors show that custom binaural audio can be successfully deployed without the need of cumbersome subjective measurements

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Section: Synthetic Individual Binaural Audio Deliverymentioning

confidence: 98%

Synthetic individual binaural audio delivery by pinna image processing

Spagnol

Geronazzo

Rocchesso

et al. 2014

International Journal of Pervasive Computing and Communications

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“…INDIVIDUALIZATION OF NON-INDIVIDUALIZED BINAURAL SYNTHESIS USING FRONTAL PROJECTION HEADPHONESICA[203,210,211]. The individual weights are derived from the anthropometric parameters that are captured by optical descriptors either by directly measuring, or derived from pictures, or by obtaining a 3D mesh of the morphology[42,212].The solution to the problem of diffraction of an acoustic wave with the listener's body results in individual HRTFs. This solution may be obtained by analytical or numerical methods, such as the boundary element method (BEM) or the fi nite element method (FEM) [42,188].…”

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confidence: 99%

3D audio reproduction using frontal projection headphones

Sunder¹

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I would like to thank Dr. Laxmi (Lacchu) and soon to be Dr. Lavi for all the love and care they have showered upon me during the last 4 years. Words cannot describe how much they supported me. I would like to thank my amazing lunch group: Abhishek, Raja, Sumedh, Handiru, Sheetal, Areetha, Saurabh, Supriya, Nishanth and Nikitha for putting up with me and for the most enjoyable lunch time moments all these years. Special thanks to Nikitha and Soumyabrata, who helped me port my thesis into LaTex. I would like to thank my friend Karthik, from whom I have learnt so much about music and audio. My perspective of sounds and music has definitely changed for good ever since. Nothing could have been possible without the wishes and support of my parents and other members of the family. Whatever i achieve today and will ever achieve in future is because of my parents Sunder and Sudha, and my dear brother Keshav. I have received unconditional love and support from everything throughout the life from them. I am truly grateful for everything. Finally, I would like dedicate this thesis to my grandmother Kalyani, who has been watching over me and blessing me in everything.

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Enhancing vertical localization with image-guided selection of non-individual head-related transfer functions

Geronazzo

Spagnol

Bedin

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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A novel approach to the selection of generic head-related transfer functions (HRTFs) for binaural audio rendering through headphones is formalized and described in this paper. A reflection model applied to the user's ear picture facilitates extraction of the relevant anthropometric cues that are used for selecting two HRTF sets in a database fitting that user, whose localization performances are evaluated in a complete psychoacoustic experiment. The proposed selection increases the average elevation performances of 17\% (with a peak of 34\%) with respect to generic HRTFs from an anthropomorphic mannequin. It also significantly enhances externalization and reduces the number of up/down reversals

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Automatic extraction of pinna edges for binaural audio customization

Cited by 4 publications

References 19 publications

Synthetic individual binaural audio delivery by pinna image processing

Synthetic individual binaural audio delivery by pinna image processing

3D audio reproduction using frontal projection headphones

Enhancing vertical localization with image-guided selection of non-individual head-related transfer functions

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