Marcello Federico

Featured in: Favicon

arxiv.org

amazon.science

Articles

PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores

Apr 10, 2024 | arxiv.org | Prashant Mathur |Chandrashekhar Lavania |Marcello Federico |Metehan Cekic
Isometric spoken language translation

Nov 22, 2023 | amazon.science | Surafel Melaku Lakew |Yogesh Virkar |Prashant Mathur |Marcello Federico

Automatic dubbing (AD) is among the machine translation (MT) use cases where translations should match a given length to allow for synchronicity between source and target speech. For neural MT, generating translations of length close to the source length (e.g. within ±10% in character count), while preserving quality is a challenging task.
Document level MT metrics

May 13, 2023 | amazon.science | Prashant Mathur |Marcello Federico |Tryambak Gangopadhyay |Brian Thompson

Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.
Findings of the IWSLT 2022 evaluation campaign

Mar 10, 2023 | amazon.science | Anna Currey |Marcello Federico |Benjamin Hsu |Georgiana Dinu

Antonios Anastasopoulos, Loic Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Esteve, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, David Javorsky, Vera Kloudova, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John...
Improving retrieval augmented neural machine translation by controlling source and fuzzy-match interactions

Mar 10, 2023 | amazon.science | Prashant Mathur |Marcello Federico |Jong Park |Brian Thompson

How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you measure sellers' response to /causal impacts of capacity control policies we implemented at Amazon using the state-of-the-art econometric techniques? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? How do you design and evaluate seller assistance to drive their success?
Isochrony-aware neural machine translation for automatic dubbing

Mar 9, 2023 | amazon.science | Surafel Melaku Lakew |Yogesh Virkar |Prashant Mathur |Marcello Federico

How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you measure sellers' response to /causal impacts of capacity control policies we implemented at Amazon using the state-of-the-art econometric techniques? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? How do you design and evaluate seller assistance to drive their success?