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Emotion Speech Recognition Through Deep Learning

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Mohammad Mohsin

    (SRM Institute of Science and Technology, Big Data Analytics)

  • D. Hemavathi

    (SRM Institute of Science and Technology, Big Data Analytics)

Abstract

Speech recognition is a major field among the fast growing technologies in engineering. It offers prospective benefits and has numerous applications in various domains. Around 20% of people on earth are affected by disabilities. Several such people cannot use their limbs effectively or are blind. In such situations, speech recognition provides required assistance. With this technology, they can use voice input and operate computer and share information. This project aims in providing assistance to this minority of people. The paper presents a technology that can recognize speech despite varied emotional state of the user. Speech recognition technology permits the computer to capture voice recording using RAVDESS and SAVEE dataset. These recordings are processed and recognized with the help of the speech recognizer. Further, emotions are recognized and provided as output by the system.

Suggested Citation

  • Mohammad Mohsin & D. Hemavathi, 2020. "Emotion Speech Recognition Through Deep Learning," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1363-1369, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_140
    DOI: 10.1007/978-3-030-41862-5_140
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