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• a grammar in the form of a 4000 word lattice is recognized using a 1GHz CPU in 8M of virtual memory at 15x faster than real-time.
• A Sprex customer, Vicor, has achieved as high as 100% accuracy (1364/1364 words correct) in laboratory tests with speaker adaptation on a small numbers-and-workflow grammar.
• ANSR inherits the accuracies achieved by speech engineers from Cambridge University, authors of HTK and HAPI, which were sold by Entropic, Inc., until Entropic was purchased in 1999 by Microsoft.
• CU-HTK systems regularly achieve the lowest error rates by a margin of 2 standard deviation relative to the average error rates of submissions of the leading speech laboratories in the world on the US government NIST benchmark tests for speech recognition accuracy, 1 standard deviation lower than the second-lowest submission. See the NIST website for CU-HTK results on Hub4 and Hub5 tests, for example.
• Independent tests by Sehda Inc., have shown the ANSR engine's accuracy to be superior to that of IBM's recognition engine.