• Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition 

      Dhahbi, Sami; Saleem, Nasir; Gunawan, Teddy Surya; Bourouis, Sami; Ali, Imad; Trigui, Aymen; Algarni, Abeer D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being ...
    • Video anomaly detection system using deep convolutional and recurrent models 

      Qasim Gandapur, Maryam; Verdú, Elena (Results in Engineering, 2023)
      Automatic identification of anomalies in video surveillance is an interesting research field. Even though interactive multimedia anomaly detection algorithms have been developed, it is still hard for video surveillance to ...