Phil Woodland

Professor Phil Woodland is a faculty member at the University of Cambridge, affiliated with the Department of Engineering. He serves as a Director of Studies in Engineering and is a Fellow. His research focuses on speech recognition, speaker diarisation, and the integration of large language models (LLMs) into speech processing systems.

His recent work explores end-to-end training frameworks, multimodal safety benchmarks (e.g., CASE-Bench), and advanced attention mechanisms like Multi-head Temporal Latent Attention. He investigates topics such as speech prompt learning, emotion recognition, and handling class imbalance in emotion detection tasks, often leveraging transformer architectures and self-supervised learning techniques.

Key trends in his publications include the fusion of speech and LLM technologies, robust audio event detection, and parameter-efficient adaptation strategies. His research also addresses biomedical applications, such as depression and Alzheimer's detection via speech analysis.

• Scientific Award: 1st place solution to the Odyssey Emotion Recognition Challenge Task 1 (2024).