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.
Keywords
- Mobile Phone
- Speech Recognition
- Automatic Speech Recognition
- Speech Recognition System
- Sentence Accuracy
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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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