{'fraction_non_alphanumeric': 0.0171875, 'fraction_numerical': 0.003125, 'mean_word_length': 5.284313725490196, '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}}
Phonemic recognition of each frame with vector field feature using continuous dynamic programming

The purpose of the paper is to propose an algorithm for pseudo-phonemic labelling of each frame feature in a continuous speech. The algorithm is consisting of the two key concepts; 1) Utilization of speech feature composed of spectrum and vector field feature of spectrum based on Vector Field Model of Speech for realizing a system which works speaker-independently, and 2) Application of a new algorithm for accumulating pseudo-phonemic evidence of each frame based on both Continuous Dynamic Programming (CDP) and Partial Matching Method.