[LAST EDITED ON JUNE 2022]. I am a Visiting Researcher at the Audio Experience Design team at Imperial College London. The goal of my research is to understand how humans perceive spatial audio and use this knowledge to implement efficient methods to produce realistic 3D audio for Virtual and Augmented Reality applications.
Between 2016 and 2021 I completed my PhD under the supervision of Dr Lorenzo Picinali and Dr Dan Goodman. During that time, I also interned at Facebook Reality Labs, where I conducted psychoacoustical studies to investigate the effects of headphone compensation on spatial audio perception, which led to potential improvements in future Oculus and Facebook AR/VR products. More recently, I have worked on a study in collaboration with the same company, which explored efficient and perceptually plausible implementations of Ambisonics-based reverberation.
Some other of my research interests are: individualisation of spatial audio (HRTF personalisation and adaptation), acoustically transparent hearing devices, and multi-modal perception in the context of virtual and augmented reality. A list of previous publications can be found here.
I have worked as a Graduate Teaching Assistant in the following modules of the MEng Design Engineering program: Computing 1 (introduction to programming in Python), Computing 2 (analysis and design of asymptotically efficient algorithms), Audio Experience Design (acoustics, auditory perception and digital signal processing), and Big Data (data analysis and inferential statistics).
Previously, I obtained a Degree in Electronic Systems Engineering and a Masters in Telematics and Communication Networks, both from the Universidad de Málaga (Spain), where I developed novel computer vision systems for traffic monitoring in smart cities.
Engel Alonso Martinez J, Goodman D, Picinali L, 2022, Assessing HRTF preprocessing methods for Ambisonics rendering through perceptual models, Acta Acustica -peking-, Vol:6, ISSN:0371-0025
et al., 2021, Perceptual implications of different Ambisonics-based methods for binaural reverberation, Journal of the Acoustical Society of America, Vol:149, ISSN:0001-4966
Engel Alonso Martinez J, Goodman DFM, Picinali L, Improving Binaural Rendering with Bilateral Ambisonics and MagLS, DAGA 2021
Engel Alonso-Martinez I, Alon DL, Mehra R, 2020, Listener-preferred headphone frequency response for stereo and spatial audio content, 2020 AES International Conference on Audio for Virtual and Augmented Reality, Audio Engineering Society, Pages:1-5
et al., Perceptual comparison of ambisonics-based reverberation methods in binaural listening, EAA Spatial Audio Signal Processing Symposium