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• Robust Speaker Personalisation Using Generalized Low-Rank Adaptation for Automatic Speech Recognition

  Automatic Speech Recognition (ASR) system is a critical element in many applications, including voice assistants, transcription services, and speech-to-text technology.

• Dynamic Video Frame Interpolator with Integrated Difficulty Pre-Assessment

  Video frame interpolation (VFI) aims to generate intermediate frames between consecutive frames. It is widely applied in video generation [1] video editing [2], frame rate up-conversion [3], etc. Despite improved accuracy driven by deep learning, VFI models are becoming more and more computationally heavy, making them infeasible for practical applications.

• Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering

  VQA [1,2] is the field of research that aims to develop methods for answering natural language questions based on the information provided in corresponding images.

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