@inproceedings{4b4f7a337c95407fbea54972605ca7d7,
title = "Low-complexity small-vocabulary speech recognition for portable devices",
abstract = "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.",
author = "Campbell, \{W. M.\} and Assaleh, \{K. T.\} and Brown, \{C. C.\}",
year = "1999",
doi = "10.1109/ISSPA.1999.815749",
language = "English",
isbn = "1864354518",
series = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
publisher = "IEEE Computer Society",
pages = "619--622",
booktitle = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
address = "United States",
note = "5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 ; Conference date: 22-08-1999 Through 25-08-1999",
}