32 citations · 40 across the 9 of their papers we have counts for
5 papers · 1 filter
Speech recognition for air traffic control via feature learning and end-to-end training
Peng Fan, Dongyue Guo, Yi Lin +2
In this work, we propose a new automatic speech recognition (ASR) system based on feature learning and an end-to-end training procedure for air traffic control (ATC) systems. The p…
A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches
Dongyue Guo, Jianwei Zhang, Bo Yang +1
Automatic spoken instruction understanding (SIU) of the controller-pilot conversations in the air traffic control (ATC) requires not only recognizing the words and semantics of the…
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
Yi Lin, Bo Yang, Linchao Li +4
In this paper, a multilingual end-to-end framework, called as ATCSpeechNet, is proposed to tackle the issue of translating communication speech into human-readable text in air traf…
Improving speech recognition models with small samples for air traffic control systems
Yi Lin, Qin Li, Bo Yang +3
In the domain of air traffic control (ATC) systems, efforts to train a practical automatic speech recognition (ASR) model always faces the problem of small training samples since t…
Contrastive Unsupervised Learning for Speech Emotion Recognition
Mao Li, Bo Yang, Joshua Levy +6
Speech emotion recognition (SER) is a key technology to enable more natural human-machine communication. However, SER has long suffered from a lack of public large-scale labeled da…