Imperial College London

DrLorenzoPicinali

Faculty of EngineeringDyson School of Design Engineering

Reader in Audio Experience Design
 
 
 
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Contact

 

l.picinali Website CV

 
 
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Location

 

Level 1 staff officeDyson BuildingSouth Kensington Campus

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Summary

 

Summary

I am a Reader in Audio Experience Design and I lead the Audio Experience Design (AXD) research group with the Dyson School of Design Engineering.  My research is currently focussed on spatial acoustics and immersive audio, looking both at perceptual and computational matters, as well as at real life applications. In the past years I have worked on projects related with 3D binaural sound rendering, spatial hearing, hearing aids technologies, audio and haptic interaction and, more in general, acoustical virtual and augmented reality. More recently I have also been working in the field of ecoacoustic monitoring, designing autonomous recorders and using audio to better understand the impact humans have on remote ecosystems (http://acoustics.safeproject.net/).
I’m currently involved in several national international research projects, such as SONICOM, looking at developing the next generation of immersive audio technologies using AI; BEARS, looking at helping teenagers with bilateral cochlear implants using a VR-based auditory training approach; as well as other projects focussed on exploring spatial hearing mechanisms, developing spatial acoustics and immersive audio technologies, and using these in real-life applications.

More information about my work can be found here https://www.axdesign.co.uk/

I am currently the module leader for the DESE-61003 Audio Experience Design module, the coordinator of the DE MEng Master's Projects, and I am a tutor for the GID and IDE MA/MSc programs at Imperial College London, in collaboration with the Royal College of Arts.

Look at the video of the AXD Installations 2022, displaying the work of the three groups at the end of the Audio Experience Design 2022 module.

Publications

Journals

Hogg A, Jenkins M, Liu H, et al., 2024, HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection, Ieee Transactions on Audio, Speech and Language Processing, ISSN:1558-7916

Chiara V, Sara C, Kevin S, et al., 2024, Spatial hearing training in virtual reality with simulated asymmetric hearing loss, Scientific Reports, Vol:14, ISSN:2045-2322

González-Toledo D, Cuevas-Rodríguez M, Vicente T, et al., 2024, Spatial release from masking in the median plane with non-native speakers using individual and mannequin head related transfer functions., J Acoust Soc Am, Vol:155, Pages:284-293

Conference

Hogg A, Liu H, Mads J, et al., Exploring the Impact of Transfer Learning on GAN-Based HRTF Upsampling, EAA Forum Acusticum, European Congress on Acoustics

Meyer J, Picinali L, 2023, Comparison of simulated head-related transfer functions accuracy for different model complexities using the finite-difference time-domain method, Forum Acusticum 2023, Pages:131-137, ISSN:2221-3767

More Publications