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Exploring Blockchain in Speech Recognition

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Recent Advances in Data Science (IDMB 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1099))

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Abstract

Blockchain is changing science and technology in a revolutionary way for its decentralized, incorruptible computing mechanism. This work explores blockchain applications in speech recognition via investigating decentralized deep learning models. The decentralized deep learning models demonstrate a good potential to handle large scale acoustic data by fusing distributed deep learning models to achieve better learning results. To the best of our knowledge, it is a pioneering work to explore blockchain technologies in speech recognition.

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Acknowledgments

This work is partially supported by the National Natural Science Foundation of China under Grant No. 61501388 and the PSFQ (Provincial Science Foundation of Qinghai, China) under Grant No. 2016-ZJ-904.

Author information

Authors and Affiliations

  1. Xianyang Normal University, Xianyang, 712000, China

    Xuemei Yang

  2. Qinghai Normal University, Xining, 810008, Qinghai, China

    Heming Huang

Authors
  1. Xuemei Yang
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  2. Heming Huang
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Corresponding author

Correspondence to Xuemei Yang .

Editor information

Editors and Affiliations

  1. Fordham University, New York, NY, USA

    Henry Han

  2. Guangxi University, Nanning, China

    Tie Wei

  3. Guangzhou University, Guangzhou, China

    Wenbin Liu

  4. Jiangsu University, Zhenjiang, China

    Fei Han

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Yang, X., Huang, H. (2020). Exploring Blockchain in Speech Recognition. In: Han, H., Wei, T., Liu, W., Han, F. (eds) Recent Advances in Data Science. IDMB 2019. Communications in Computer and Information Science, vol 1099. Springer, Singapore. https://doi.org/10.1007/978-981-15-8760-3_15

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  • DOI: https://doi.org/10.1007/978-981-15-8760-3_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8759-7

  • Online ISBN: 978-981-15-8760-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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