Elena Olteanu
Papers
1
Total Citations
4
H-Index
1
About
Elena Olteanu is a researcher at the forefront of automatic environmental sound recognition, a rapidly growing field at the intersection of computer science, robotics, and acoustic analysis. Her work focuses on developing innovative methods to enable machines to interpret and classify sounds from the natural and built environment—a critical capability for applications in content-based search, security systems, environmental monitoring, and autonomous robotics. In her most cited paper, "Fusion of speech techniques for automatic environmental sound recognition" (2019, 4 citations), Olteanu explores the novel integration of established speech processing methodologies into the domain of environmental sound analysis. This cross-disciplinary approach demonstrates her ability to bridge gaps between speech technology and broader acoustic scene understanding, offering new pathways for improving recognition accuracy and robustness. Her contributions are particularly significant for advancing the emerging discipline of Automatic Environment Sound Recognition (AESR), where her work helps lay the groundwork for more intelligent, context-aware systems. Olteanu’s research is essential reading for students and researchers interested in acoustic AI, signal processing, and the future of human-robot interaction in complex auditory environments.
Research Focus
Key Achievements
Top Papers
- 1