most citedHow To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation

1 citations · 2 across the 5 of their papers we have counts for

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5 papers

cs.CL2024

A Prompt Response to the Demand for Automatic Gender-Neutral Translation

Beatrice Savoldi, Andrea Piergentili, Dennis Fucci +2

Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation technologies. Advancements fo…

cs.CL2023

Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection

Dennis Fucci, Marco Gaido, Sara Papi +3

When translating words referring to the speaker, speech translation (ST) systems should not resort to default masculine generics nor rely on potentially misleading vocal traits. Ra…

cs.CL20231 cited

How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation

Marco Gaido, Dennis Fucci, Matteo Negri +1

When translating from notional gender languages (e.g., English) into grammatical gender languages (e.g., Italian), the generated translation requires explicit gender assignments fo…

cs.CL20231 cited

No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation

Dennis Fucci, Marco Gaido, Matteo Negri +2

Automatic speech recognition (ASR) systems are known to be sensitive to the sociolinguistic variability of speech data, in which gender plays a crucial role. This can result in dis…

cs.CL2023

Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus

Andrea Piergentili, Beatrice Savoldi, Dennis Fucci +2

Gender inequality is embedded in our communication practices and perpetuated in translation technologies. This becomes particularly apparent when translating into grammatical gende…