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Low-complexity small-vocabulary speech recognition for portable devices

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3 Author(s)
Campbell, W.M. ; Labs., Motorola Inc., Tempe, AZ, USA ; Assaleh, K.T. ; Brown, C.C.

Low-complexity technology is a natural focal point for today's portable devices. Low-complexity increases battery life and facilitates small memory platform implementation. We propose the use of polynomial classifiers for portable speech recognition implementation. Polynomial classifiers have a simple architecture which fits well with modern DSP chips. We demonstrate several novel methods for implementing speech recognition. We describe a novel training technique. We also show a technique for fast scoring and prior normalization. We illustrate some of the properties of the methods on a command-and-control database

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Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on  (Volume:2 )

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