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Today’s Challenges for Embedded ASR

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8934))

Abstract

Automatic Speech Recognition (ASR) is pervading nowadays to areas unimaginable a few years ago. This progress was achieved mainly due to massive changes in the “Smart phones world” and ubiquitous availability of small, and powerful Linux-based hardware.

Recently, the availability of free ASR systems with acceptable speed and accuracy performance grew. Together with the changes the mobile world brought, a developer is now able to include ASR quickly without detailed knowledge of the underlying technology. What will be the future of embedded ASR systems in this case?

This talk presents two embedded ASR applications and points out their advantages over today’s quick solutions. The first one demonstrates how changes in users behavior allowed to design a usable voice enabled house control. The second one is an extremely reliable in–car real–time ASR system which can even use a remote ASR for complex tasks.

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References

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Correspondence to Jozef Ivanecký .

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© 2014 Springer International Publishing Switzerland

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Ivanecký, J., Mehlhase, S. (2014). Today’s Challenges for Embedded ASR. In: Hliněný, P., et al. Mathematical and Engineering Methods in Computer Science. MEMICS 2014. Lecture Notes in Computer Science(), vol 8934. Springer, Cham. https://doi.org/10.1007/978-3-319-14896-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-14896-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14895-3

  • Online ISBN: 978-3-319-14896-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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