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AI and Speech Recognition

  • Francesco CoreaEmail author
Chapter
Part of the Studies in Big Data book series (SBD, volume 50)

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 startup players are identified.

References

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

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of ManagementCa’ Foscari UniversityVeniceItaly

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