Speech Enhancement Using MLP-Based Architecture With Convolutional Token Mixing Module and Squeeze-and-Excitation Network
Work
Year: 2022
Type: article
Abstract: The Conformer has shown impressive performance for speech enhancement by exploiting the local and global contextual information, although it requires high computational complexity and many parameters.... more
Source: IEEE Access
Institution Gwangju Institute of Science and Technology
Cites: 35
Cited by: 1
Related to: 10
FWCI: 0.186
Citation percentile (by year/subfield): 31.88
Topic: Speech and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: gold
APC paid (est): $1,850
Funders National Research Foundation of Korea, Institute for Information and Communications Technology Promotion
Grant IDS NRF-2019R1A2C2089324, IITP-2021-0-01835