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Deep Learning Convolutional Neural Network for Speech Recognition: A Review

Author

Listed:
  • Kazheen Ismael Taher

    (Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq)

  • Adnan Mohsin Abdulazeez

    (Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq)

Abstract

In the last few decades, there has been considerable amount of research on the use of Machine Learning (ML) for speech recognition based on Convolutional Neural Network (CNN). These studies are generally focused on using CNN for applications related to speech recognition. Additionally, various works are discussed that are based on deep learning since its emergence in the speech recognition applications. Comparing to other approaches, the approaches based on deep learning are showing rather interesting outcomes in several applications including speech recognition, and therefore, it attracts a lot of researches and studies. In this paper, a review is presented on the developments that occurred in this field while also discussing the current researches that are being based on the topic currently.

Suggested Citation

  • Kazheen Ismael Taher & Adnan Mohsin Abdulazeez, 2021. "Deep Learning Convolutional Neural Network for Speech Recognition: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 1-14.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:3:p:1-14
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    References listed on IDEAS

    as
    1. Kavi B. Obaid & Subhi R. M. Zeebaree & Omar M. Ahmed, 2020. "Deep Learning Models Based on Image Classification: A Review," International Journal of Science and Business, IJSAB International, vol. 4(11), pages 75-81.
    2. Rondik J.Hassan & Adnan Mohsin Abdulazeez, 2021. "Deep Learning Convolutional Neural Network for Face Recognition: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 114-127.
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