2 citations · 6 across the 8 of their papers we have counts for
8 papers
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning
Xincheng Yu, Dongyue Guo, Jianwei Zhang +1
Radio speech echo is a specific phenomenon in the air traffic control (ATC) domain, which degrades speech quality and further impacts automatic speech recognition (ASR) accuracy. I…
Key Frame Mechanism For Efficient Conformer Based End-to-end Speech Recognition
Peng Fan, Changhao Shan, Sining Sun +2
Recently, Conformer as a backbone network for end-to-end automatic speech recognition achieved state-of-the-art performance. The Conformer block leverages a self-attention mechanis…
3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
Ruowei Wang, Yu Liu, Pei Su +2
Shape generation is the practice of producing 3D shapes as various representations for 3D content creation. Previous studies on 3D shape generation have focused on shape quality an…
Integrating spoken instructions into flight trajectory prediction to optimize automation in air traffic control
Dongyue Guo, Zheng Zhang, Bo Yang +3
The booming air transportation industry inevitably burdens air traffic controllers' workload, causing unexpected human factor-related incidents. Current air traffic control systems…
Enhancing multilingual speech recognition in air traffic control by sentence-level language identification
Peng Fan, Dongyue Guo, JianWei Zhang +2
Automatic speech recognition (ASR) technique is becoming increasingly popular to improve the efficiency and safety of air traffic control (ATC) operations. However, the conversatio…
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…