2 citations · 6 across the 10 of their papers we have counts for
10 papers
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
Attentive-based Multi-level Feature Fusion for Voice Disorder Diagnosis
Lipeng Shen, Yifan Xiong, Dongyue Guo +4
Voice disorders negatively impact the quality of daily life in various ways. However, accurately recognizing the category of pathological features from raw audio remains a consider…
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…
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Dongyue Guo +2
Deep learning models have recently achieved significant performance improvements in time series forecasting. We present a highly accurate and simply structured CNN-based model with…
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…
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code Representation
Dongyue Guo, Zheng Zhang, Zhen Yan +2
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers in managing airspace more safely and efficiently. Exi…
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…