QR-koda

Speech Recognition for Air Traffic Control Utilizing a Multi-Head State-Space Model and Transfer Learning

In the present study, a novel end-to-end automatic speech recognition (ASR) framework, namely, ResNeXt-Mssm-CTC, has been developed for air traffic control (ATC) systems. This framework is built upon the Multi-Head State-Space Model (Mssm) and incorporates transfer learning techniques. Residual Netw...

Olles dieđut

Furkejuvvon:
Váldodahkkit: Haijun Liang, Hanwen Chang, Jianguo Kong
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2024-05-01
Ráidu:Aerospace
Fáttát:
end-to-end ASR
ResNeXt-Mssm-CTC
air traffic control
transfer learning
Liŋkkat:https://www.mdpi.com/2226-4310/11/5/390
Fáddágilkorat: Lasit fáddágilkoriid
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid