PROBING THE INFORMATION ENCODED IN X-VECTORS
Table 2: Distribution of frequency of unique utterances. The utterances with high frequency correspond to the common pass-phrases. For the utterances with lower frequency, each of these are spoken by 3 different speakers, and 4-fold augmentation gives a total of 12.
['[BOLD] # unique utterances', '[BOLD] Frequency', '[BOLD] Total']
Our primary reason for using this data is that it contains both common and unique utterances across a variety of speakers. We use the enrollment utterances corresponding to the common, unique, and free-choice pass-phrase portions of the data set. This gives us a total of 2484 utterances, comprising 460 unique transcriptions. This increases the total number of utterances to 9936.