معرفی
Dr. Bruno Fazenda is an Associate Professor at the School of Science, Engineering & Environment, University of Salford, and a key member of the Acoustics Innovation Institute. His work bridges acoustics, psychoacoustics, and machine learning, with a focus on enhancing audio quality for hearing-impaired listeners. He leads the Cadenza Challenges, a series of initiatives leveraging machine learning to improve music accessibility.
- Room Acoustics
- Sound Reproduction
- Psychoacoustics
- Audio Quality Perception
- Machine Learning in Audio Engineering
His recent publications highlight advancements in audio quality metrics (PEAQ, PEMO-Q, ViSQOL, HAAQI), spatial hearing in virtual environments, and datasets for music processing challenges. Projects like EnhanceMusic (2022–2026) and S3A (2014–2019) underscore his commitment to immersive audio technologies and hearing aid compatibility. He has supervised theses on auditory salience and low-frequency instrument perception, contributing to both theoretical and applied acoustics research.
Dr. Fazenda’s work also extends to historical acoustics, including Stonehenge impulse response measurements (2020), which explore prehistoric sound environments. His research integrates interdisciplinary perspectives, such as human evolution and brain function, into modern audio engineering solutions.
