Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement
Crossref DOI link: https://doi.org/10.1186/s13636-024-00331-z
Published Online: 2024-02-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yecchuri, Sivaramakrishna
Vanambathina, Sunny Dayal
Text and Data Mining valid from 2024-02-03
Version of Record valid from 2024-02-03
Article History
Received: 4 August 2023
Accepted: 22 January 2024
First Online: 3 February 2024
Declarations
:
: The authors declare no competing interests.