1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…