Papers
1
Total Citations
2
H-Index
1
About
Dr. Lei Ye is a pioneering researcher in acoustic signal processing and intelligent sensing, with a focus on leveraging sound field perturbations for object identification and environmental perception. His most-cited work, "Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response" (2020), introduces a novel method that uses spectral subtraction techniques to analyze how objects alter acoustic room impulse responses, enabling precise identification of objects in indoor environments. This contribution is critical for advancing applications in security surveillance, human identification, and autonomous robotics, where recognizing barriers or unknown objects is essential. Despite its recent publication, the paper has garnered 2 citations, reflecting growing interest in non-visual sensing approaches. Dr. Ye’s research bridges the gap between acoustics and artificial intelligence, offering robust solutions for AI-driven robots and smart environments. His work stands out for its innovative use of everyday sound fields—transforming how machines interpret physical spaces without relying on cameras. By addressing challenges in object recognition under low-visibility conditions, Dr. Ye is shaping the future of context-aware systems, making him a notable figure in acoustic engineering and intelligent sensing.
Research Focus
Key Achievements
Top Papers
- 1