Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize?
Jennifer Williams,
Karla Pizzi,
Natalia Tomashenko
et al.
Abstract:A vastly under-explored area in speech anonymization involves characterizing how different speakers perform in voice privacy tasks. In this paper, we present a deeper analysis by creating and analyzing groups of challenging speakers categorized based on their performance in two related facets of voice anonymization evaluation: (1) speaker similarity using automatic speaker verification (ASV) and (2) human perception using a large-scale A/B listening test. We group speakers into four categories (sheep, goats, l… Show more
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