معرفی
Alec Wright is a Chancellor’s Fellow in Audio Machine Learning at the University of Edinburgh, affiliated with the Edinburgh College of Art and the Music department. He focuses on applying machine learning to musical audio signal processing and synthesis, particularly through neural network-based audio effects modeling.
Education:
- Doctor of Science (DSc) in Neural Modelling of Audio Effects, Aalto University (2023)
- Master of Science (MSc) in Acoustics and Music Technology, University of Edinburgh (2018)
- Master of Engineering (MEng) in Mechanical Engineering, University of Manchester (2014)
His research explores neural network architectures for real-time audio processing, guitar amplifier emulation, and diffusion-based distortion restoration. Key methodologies include Recurrent Neural Networks (RNNs), neural ordinary differential equations, and synthetic data generation for foundation models.
Recent publications highlight sample rate conversion techniques, interpolation filters, and nonlinear distortion modeling. These works span domains like signal processing, computational audio, and physical modeling synthesis.
Scientific Awards:
- Chancellor’s Fellow, University of Edinburgh
As an active researcher, he collaborates internationally and contributes to frameworks like Open-Amp for audio effect modeling. No formal student advising details are currently available.
