{'fraction_non_alphanumeric': 0.021241830065359478, 'fraction_numerical': 0.0, 'mean_word_length': 4.894230769230769, '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}}
SEARCH IN SPEECH RECORDS

This paper describes the designed and implemented system for efficient indexing and search in collections of spoken documents. The system uses an LVCSR (Large Vocabulary Continuous Speech Recognition) system and a phoneme recognizer. The outputs of both recognizers are indexed. Then in the searching phase, both indices are be used. This leads to high retrieval performance for common words and to the ability to search for less common words (which are not in the LVCSR dictionary) as well. Last, but not least, the results from the NIST Spoken Term Detection evaluations are reported.