Measurement of Finite-Precision Effects in Handwriting- and Speech-Recognition Algorithms
نویسنده
چکیده
This paper reports experiments measuring the e ects of nite 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 MMX instruction set) while incurring only a negligible loss in recognition accuracy.
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