Abstract
This paper reports experiments measuring the effects of finite precision arithmetic in the range of 4 to 16 bits on three particular pattern-recognition algorithms: an optical character recognizer [1], a pen-based character recognizer [2], and a speech recognizer [3]. The measurements shows that large portions of these algorithms can be implemented with 8-bit arithmetic (e.g. using Intel's MMXTM instruction set) while incurring only a negligible loss in recognition accuracy.
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© 1997 Springer-Verlag Berlin Heidelberg
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Säckinger, E. (1997). Measurement of finite-precision effects in handwriting- and speech-recognition algorithms. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020318
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DOI: https://doi.org/10.1007/BFb0020318
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Print ISBN: 978-3-540-63631-1
Online ISBN: 978-3-540-69620-9
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