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    Listar por tema "speech quality"

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      • 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 ...
      • 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 ...
      • On improvement of speech intelligibility and quality: a survey of unsupervised single channel speech enhancement algorithms 

        Saleem, Nasir; Khattak, Muhammad Irfan; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2020)
        Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
      • Regularized sparse features for noisy speech enhancement using deep neural networks 

        Khattak, Muhammad Irfan; Saleem, Nasir; Gao, Jiechao; Verdú, Elena ; Parra Fuente, Javier (Computers and Electrical Engineering, 2022)
        A speech enhancement algorithm improves the perceptual aspects of a speech degraded by noise signals. We propose a phase-aware deep neural network (DNN) using the regularized sparse features for speech enhancement. A ...
      • Spectral phase estimation based on deep neural networks for single channel speech enhancement 

        Saleem, N.; Khattak, Muhammad Irfan; Verdú, Elena (Journal of Communications Technology and Electronics, 12/2019)
        Majority of speech processing algorithms operate only with the spectral magnitude, leaving spectral phase unstructured and unexplored. With recent advancement in deep neural networks (DNNs), the phase processing became ...

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