Noise Source

Noise source identification and mitigation are active research areas, focusing on improving the accuracy and efficiency of noise reduction techniques across diverse applications. Current efforts involve refining signal processing algorithms, such as those used in active noise control systems and incorporating knowledge about noise source distributions to enhance noise detection and classification in machine learning contexts. These advancements have implications for various fields, including healthcare (through improved biomarker analysis from vocalizations), robotics (by enabling more human-like responses to auditory stimuli), and broader signal processing applications where noise reduction is crucial.