SOURCE-LINKED INTELLIGENCE

Evaluation of the Quality of Experience of Cochlear Implant Users Listening to Live Music Performances through Augmented Reality

CORDIS · observation · Publication date unknown

it into an AR system for evaluation of the quality of experience (QoE) of CI users. ARM4CI has the potential to impact the scientific community by providing a database that enables the development of machine learning algorithms, the CI users by improving their quality of experience in music consumption, and the music industry by introducing a new paradigm of listening to live music through AR. ARM4CI will be implemented in University College Dublin under the supervision of Dr. Andrew Hines. Through this project, a two-way transfer of knowledge is achieved since it combines my experience in multimodal data gathering and analysis of music performances, Dr. Hines' experience in designing algorithms to improve speech intelligibility for HoH individuals, and UCD's capacity to host AR-driven research. The fellowship is a timely opportunity for me to achieve my career goals of securing a tenure faculty position and setting up my own research laboratory for music technology in the future. Cochlear Implants

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recordType

award

status

SIGNED

region

EU

value

215534.4

unit

EUR