{'fraction_non_alphanumeric': 0.012477718360071301, 'fraction_numerical': 0.0, 'mean_word_length': 5.853658536585366, '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}}
An auditory-based distortion measure with application to concatenative speech synthesis

This study presents a new auditory-based distance measure with application to concatenative speech synthesis. This measure employs the Carney auditory model to produce a feature vector related to auditory perception. For concatenative synthesis, the new measure is employed to assess perceived discontinuities at segment transitions. Evaluations using a restricted data base environment show that the new measure can be effective in improving speech synthesis performance.