{'fraction_non_alphanumeric': 0.026285714285714287, 'fraction_numerical': 0.0, 'mean_word_length': 5.586466165413534, '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}}
Thematic alignment of recorded speech with documents

We present in this article a method for detecting similarity links between documents' content and speech recordings' content. This process, further called thematic alignment, is a novel research area that combines both document and speech analysis. This alignment will a) provide temporal indexes to documents, which are non-temporal data, and b) help discovering hidden thematic structures. This article first introduces a multi-layered document structure and quickly introduces the traditional speech structure. Further, it presents a simple similarity measure and various multi-level simple alignments between those two structures. Later, the meeting corpus is presented, as well as an evaluation of the implemented alignments. Finally, we present our future works on multi-alignments and thematic structure discovery.