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From Cost Sensitive Embedded Applications to PC-based Systems

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Robust Speech Recognition in Embedded Systems and PC Applications

Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 563))

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Summary

For both embedded and PC-based systems, the cost of speech recognition has to be negligible in comparison to the total system cost. However, this is much easier to achieve for PCs. The processing power of the average PC has increased to the point that it is now possible to deliver software-only solutions that do not require any additional hardware. In this chapter, we review techniques that are especially useful in embedded applications or to decrease computational complexity such as floating-point to fixed-point conversion and fast Gaussian computation/Gaussian clustering which helps decreasing the amount of time spent in the likelihood computation. Then, we present some case studies for both embedded and PC-based systems. Finally, we focus on some standard Application Programming Interfaces (APIs) that are helping the transition from research prototypes to commercial voice-enabled applications.

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© 2002 Kluwer Academic Publishers

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(2002). From Cost Sensitive Embedded Applications to PC-based Systems. In: Robust Speech Recognition in Embedded Systems and PC Applications. The International Series in Engineering and Computer Science, vol 563. Springer, Boston, MA. https://doi.org/10.1007/0-306-47027-6_4

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  • DOI: https://doi.org/10.1007/0-306-47027-6_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7873-0

  • Online ISBN: 978-0-306-47027-1

  • eBook Packages: Springer Book Archive

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