{'fraction_non_alphanumeric': 0.022026431718061675, 'fraction_numerical': 0.0, 'mean_word_length': 5.183673469387755, '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 speaker recognizability test

Speech intelligibility and quality are the two most often tested features of speech coding systems. However, another feature of interest in store-and-forward applications is the preservation of a speaker's identity. Here, a Speaker Recognizability Test (SRT) is presented, which tries to establish how well a given communications system preserves a speaker's identity. Contrary to previous efforts, no attempt is made to identify the cues used by listeners for speaker recognition. Instead, listeners are asked directly to identify a speaker who says an utterance by comparing the uttered sentence with reference sentences, one from each speaker. Among the issues considered in the design of the test is the choice of speakers, the use of reference sentences from the same or different sessions of data collection, and the use of processed or unprocessed speech for reference.