A novel self-training approach for low-resource speech recognition
In this paper, we propose a self-training approach for automatic speech recognition (ASR)
for low-resource settings. While self-training approaches have been extensively developed …
for low-resource settings. While self-training approaches have been extensively developed …
[HTML][HTML] Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in …
YS Ni, WL Chen, Y Liu, MH Wu, JI Guo - Sensors, 2024 - mdpi.com
In the field of automatic optical inspection (AOI), this study presents innovative strategies to
enhance object detection accuracy while minimizing dependence on large annotated …
enhance object detection accuracy while minimizing dependence on large annotated …
Comparison of Well and Lower-Resourced Self-training in ASR
Y Luo, P Mihajlik - International Conference on Speech and Computer, 2024 - Springer
In this paper, we present a case study of self-training for end-to-end Hungarian and
Mandarin speech recognition. We demonstrate that self-training methods can significantly …
Mandarin speech recognition. We demonstrate that self-training methods can significantly …