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AI and Speech Recognition

  • Francesco CoreaEmail author
Chapter
Part of the SpringerBriefs in Complexity book series (BRIEFSCOMPLEXITY)

Abstract

This chapter talks about the impact of AI on speech recognition and conversational interfaces. It will touch upon bots classification, main models used and developed in speech recognition as well as a market classification where major start-up players are identified.

References

  1. Deng, L., & Li, X. (2013). Machine learning paradigms for speech recognition: An overview. IEEE Transaction on Audio, Speech, and Language Processing, 21(5).Google Scholar
  2. Li, J., Galley, M., Brockett, C., Spithourakis, G., Gao, J., & Dolan, W. B. (2016). A persona-based neural conversation model. Association for Computational Linguistics, 1. Google Scholar
  3. Sutskever, I., Vinyals, O., & Le, Q. (2014). Sequence to sequence learning with neural networks. Advances in Neural Information Processing Systems, 3104–3112.Google Scholar
  4. Yao, K., Zweig, G., & Peng, B. (2015). Attention with intention for a neural network conversation model. arXiv preprint arXiv:1510.08565

Copyright information

© The Author(s) 2019

Authors and Affiliations

  1. 1.RomeItaly

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