A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications.

ABSTRACT: Miscommunications between air traffic controllers (ATCOs) and pilots in air traffic control (ATC) may lead to catastrophic aviation accidents. Thanks to advances in speech and language processing, automatic speech recognition (ASR) is an appealing approach to prevent misunderstandings. To allow ATCOs and pilots sufficient time to respond instantly and effectively, the ASR systems for ATC must have both superior recognition performance and low transcription latency. However, most existing ASR works for ATC are primarily concerned with recognition performance while paying little attention to recognition speed, which motivates the research in this article. To address this issue, this article introduces knowledge distillation into the ASR for Mandarin ATC communications to enhance the generali

SUBMITTER: Ren J 

PROVIDER: S-EPMC10703016 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature