Noise Suppression Method With Low-Complexity Noise Estimation Model and Heuristic Noise-Masking Algorithm for Real-Time Processing of Robot Vacuum Cle...
TL;DR
This study introduces a low-complexity noise suppression algorithm for robot vacuum cleaners, using a noise estimation model and heuristic noise-masking to extract speech signals from high-noise environments in real-time.
Noise Suppression Method With Low-Complexity Noise Estimation Model and Heuristic Noise-Masking Algorithm for Real-Time Processing of Robot Vacuum Cleaners
Seunghyeon Shin; Minhan Kim; Inkoo Jeon; Ju-Man Song; Yongjin Park; Jungkwan Son; Seokjin Lee
https://doi.org/10.1109/ACCESS.2024.3522937
Volume 13
Noise suppression in a high-level noise environment using a low-complexity method is challenging. This study proposes a low-complexity noise suppression algorithm for robot vacuum cleaner processors. We collected working noise from a robot vacuum cleaner along with speech signals and developed a method to extract the desired speech signal while estimating the noise. Our approach estimates the nois...