activity
20202026
most citedOver-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation

18 citations · 97 across the 45 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

cs.CL2021

Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation

Marco Gaido, Susana Rodríguez, Matteo Negri +2

Automatic translation systems are known to struggle with rare words. Among these, named entities (NEs) and domain-specific terms are crucial, since errors in their translation can…

cs.CL2021★ 8 cited

Speechformer: Reducing Information Loss in Direct Speech Translation

Sara Papi, Marco Gaido, Matteo Negri +1

Transformer-based models have gained increasing popularity achieving state-of-the-art performance in many research fields including speech translation. However, Transformer's quadr…

cs.CL2021

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

Alina Karakanta, Marco Gaido, Matteo Negri +1

Speech translation (ST) has lately received growing interest for the generation of subtitles without the need for an intermediate source language transcription and timing (i.e. cap…

cs.CL2021★ 5 cited

Dealing with training and test segmentation mismatch: FBK@IWSLT2021

Sara Papi, Marco Gaido, Matteo Negri +1

This paper describes FBK's system submission to the IWSLT 2021 Offline Speech Translation task. We participated with a direct model, which is a Transformer-based architecture train…

cs.CL2021★ 1 cited

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Luisa Bentivogli, Mauro Cettolo, Marco Gaido +4

Five years after the first published proofs of concept, direct approaches to speech translation (ST) are now competing with traditional cascade solutions. In light of this steady p…

cs.CL2021

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Marco Gaido, Beatrice Savoldi, Luisa Bentivogli +2

Having recognized gender bias as a major issue affecting current translation technologies, researchers have primarily attempted to mitigate it by working on the data front. However…

cs.CL2021

Gender Bias in Machine Translation

Beatrice Savoldi, Marco Gaido, Luisa Bentivogli +2

Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, elaborating and communicating information. However, it can suff…

cs.SD2021★ 16 cited

Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

Marco Gaido, Matteo Negri, Mauro Cettolo +1

The audio segmentation mismatch between training data and those seen at run-time is a major problem in direct speech translation. Indeed, while systems are usually trained on manua…

cs.CL2021

CTC-based Compression for Direct Speech Translation

Marco Gaido, Mauro Cettolo, Matteo Negri +1

Previous studies demonstrated that a dynamic phone-informed compression of the input audio is beneficial for speech translation (ST). However, they required a dedicated model for p…