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Listar por tema "speech enhancement"

Mostrando ítems 1-7 de 7

    • Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments 

      Saleem, Nasir; Khattak, Muhammad Irfan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The ...

    • Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement 

      Fazal-E -Wahab; Ye, Zhongfu; Saleem, Nasir; Ali, Hamza (International Journal of Interactive Multimedia and Artificial Intelligence, 2024)
      Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high ...

    • 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 (IJIMAI), 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 ...

    • Spectral Restoration Based Speech Enhancement for Robust Speaker Identification 

      Saleem, Nasir; Tareen, Tayyaba Gul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Spectral restoration based speech enhancement algorithms are used to enhance quality of noise masked speech for robust speaker identification. In presence of background noise, the performance of speaker identification ...