Area of research
Renewable Energy, Sustainability and the Environment · Artificial Intelligence
Research interest
Research focused on Speech recognition and Artificial intelligence, with related work in Transformer, Cluster analysis, Artificial neural network. Notable publications include 'Improving ECAPA-TDNN Performance with Coordinate Attention', 'Speaker Recognition Based on Pre-Trained Model and Deep Clustering', and 'LE-CAM++: A Lighter and More Efficient CAM++ for Speaker Verification'.
Improving ECAPA-TDNN Performance with Coordinate Attention
Speaker Recognition Based on Pre-Trained Model and Deep Clustering
LE-CAM++: A Lighter and More Efficient CAM++ for Speaker Verification
Branch-Transformer: A Parallel Branch Architecture to Capture Local and Global Features for Language Identification