Papers by Roldano Cattoni

2 papers
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus (2020.acl-main)

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Challenge: a growing number of studies have examined the issue of gender bias in speech translation . a gender bias is a systemic problem that reproduces gender stereotypes discriminating women.
Approach: They present the first thorough investigation of gender bias in speech translation . they compare audio technologies for English-Italian/French translations .
Outcome: The proposed method compares different technologies on two languages, English and French.
MuST-C: a Multilingual Speech Translation Corpus (N19-1)

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Challenge: Current research on spoken language translation (SLT) has to confront the scarcity of sizeable and publicly available training corpora.
Approach: They propose a multilingual speech translation corpus that will facilitate the training of end-to-end systems for SLT from English into 8 languages.
Outcome: The proposed multilingual speech translation corpus will facilitate the training of end-to-end systems for spoken language translation from English into 8 languages.

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