معرفی
Professor Patrick Naylor is a faculty member in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on acoustic signal processing, speech processing, and audio technology, with a particular emphasis on spatial audio, robot audition, and applications in human-robot interaction. His work spans theoretical advancements like polynomial eigenvalue decomposition (PEVD) and practical innovations in audio security, data augmentation, and assistive technologies for hearing aids.
He leads the Speech and Audio Processing research group, affiliated with Imperial's Robotics Forum, Artificial Intelligence Network, and Natural and Machine Hearing initiatives. His research addresses challenges in multi-channel speech compression, secure audio transmission, and adaptive systems for dynamic acoustic environments. Notable projects include developing neural network-based methods for sound source localization and enhancing speech recognition for post-stroke aphasia patients.
Prof. Naylor's work intersects electrical engineering, machine learning, and cognitive sciences. He has pioneered techniques for binaural speech enhancement using deep learning and contributed to standards in acoustic environment profiling. His lab's research is showcased at www.ee.ic.ac.uk/sap.
His publications emphasize audio security (e.g., watermarking, privacy-preserving processing) and ambient cooperative intelligence systems. Current trends focus on explainable AI for acoustic neural embeddings and scalable microphone array processing for smart environments. His research frequently addresses real-world applications in healthcare, robotics, and telecommunications.
Prof. Naylor collaborates across disciplines, integrating signal processing with robotics and clinical needs. His lab explores both foundational algorithms and deployable systems, reflecting Imperial's engineering ethos of bridging theory and practice.
