Noise Suppression Method With Low-Complexity Noise Estimation Model and Heuristic Noise-Masking Algorithm for Real-Time Processing of Robot Vacuum Cleaners

Noise Suppression Method With Low-Complexity Noise Estimation Model and Heuristic Noise-Masking Algorithm for Real-Time Processing of Robot Vacuum Cleaners

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 met...

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Bibliographic Details
Main Authors: Seunghyeon Shin, Minhan Kim, Inkoo Jeon, Ju-Man Song, Yongjin Park, Jungkwan Son, Seokjin Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Source separation
low-complexity
low-SNR
machine learning
mask estimation
mono channel
Online Access:https://ieeexplore.ieee.org/document/10816400/
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