Psychoacoustic study on active control system for kitchen hoods noise

This study introduces a real-time shaping noise control approach for kitchen hoods using the filtered-E least mean square (FELMS) algorithm-based active noise control (ANC) system. The goal is to not only lower the noise effectively but also make the remaining sound more pleasant to human ears. Two existing noise control methods, including the filtered-X LMS (FxLMS) based, and the output-error filtered-U recursive LMS (OE-FURLMS) based ANC systems were compared. Both the amount of noise reduction and the sound quality measurement using five key factors: loudness, sharpness, roughness, tonality, and overall pleasantness were measured to evaluate performance. The test results show that the proposed system reduces kitchen hood noise effectively, spreads the noise reduction more evenly across different frequencies, and creates a sound that people find more pleasant compared to the traditional methods.