A Unified Framework for Multilingual Speech Recognition in Air Traffic Control Systems

This work focuses on robust speech recognition in air traffic control (ATC) by designing a novel processing paradigm to integrate multilingual speech recognition into a single framework using three cascaded modules: an acoustic model (AM), a pronunciation model (PM), and a language model (LM). The A...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2021-08, Vol.32 (8), p.3608-3620
Hauptverfasser:	Lin, Yi, Guo, Dongyue, Zhang, Jianwei, Chen, Zhengmao, Yang, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic model (AM) Acoustics Air traffic control air traffic control (ATC) Algorithms Artificial neural networks Atmospheric modeling Aviation Coders Computer Systems Control systems Decoding English language Hidden Markov models Language Machine translation machine translation pronunciation model (PM) multilingual Multilingualism multiscale CNN (MCNN) Neural networks Neural Networks, Computer Phonemes Radio transmission Real-time systems Recurrent neural networks Reproducibility of Results robust speech recognition Speech Speech recognition Speech Recognition Software Task analysis Translation Translations Vocabulary Voice recognition Words (language)
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