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Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning
Acoustic echo cancellation (AEC) is designed to remove echoes, reverberation, and unwanted added sounds from the microphone signal while maintaining the quality of the near-end speaker's speech.
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization
Holistic object representation-based trackers suffer from performance drop under large appearance change such as deformation and occlusion.
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