• Audio-Visual Automatic Speech Recognition Towards Education for Disabilities 

      Debnath, Saswati; Roy, Pinki; Namasudra, Suyel; González-Crespo, Rubén (Journal of Autism and Developmental Disorders, 2023)
      Education is a fundamental right that enriches everyone’s life. However, physically challenged people often debar from the general and advanced education system. Audio-Visual Automatic Speech Recognition (AV-ASR) based ...
    • ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement 

      Khattak, Muhammad Irfan; Saleem, Nasir; Nawaz, Aamir; Ahmed Almani, Aftab; Umer, Farhana; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
    • Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy 

      Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)
      Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...