This work proposes repurposing XTTSv2, a multilingual voice cloning model trained on 27k hours of speech, for speaker anonymization without retraining, and introduces an iterative refinement strategy that balances privacy and utility by maximizing a harmonic mean of speaker dissimilarity and intelligibility.
Romolo Muletta, Felix Matthias Saaro, Mark Cieliebak et al.· 0 citations
The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation based on Large Language Models (LLMs) with educational technology and explores the design and evaluation of innovative science teaching-learning proposals grounded in curriculum-aligned teaching-learning.
Rodrigo Agerri, Itziar Aldabe, Elena Cabrio et al.· 0 citations
A Bayesian evaluation framework is introduced that jointly models retrieval success, abstention behavior, and answer correctness, factorized according to the pipeline's information flow, and extends to incorporate LLM-as-a-judge annotations as calibrated noisy observations, enabling practitioners to combine limited hum...
Pius von Däniken, Felix Matthias Saaro, Mark Cieliebak et al.· 0 citations
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