{'fraction_non_alphanumeric': 0.028312570781426953, 'fraction_numerical': 0.01245753114382786, 'mean_word_length': 5.138888888888889, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A text-prompted distributed speaker verification system implemented on a cellular phone and a mobile terminal

For a practical application of biometrics authentication on cellular phones, a speaker verification system was implemented on a cellular phone and a PDA type mobile terminal. The system has the following three features: 1) a distributed system configuration for connectivity to internet services, 2) text-prompted speaker verification using connected digit patterns for robustness to imposture, and 3) incremental model update for preventing deterioration of accuracy. The system was examined in a two-month test, and effects of the incremental model update were evaluated with those data. Experimental results showed that the average equal error rate over this period was reduced from 8.6% to 4.4% by monthly update, to 2.9% by weekly update, and to 0.9% by daily update.