Surafel Melaku Lakew — accepted AI-conference papers

2022

ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing

Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico

ICASSP 2022accepted

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…

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2021

Machine Translation Verbosity Control for Automatic Dubbing

Surafel Melaku Lakew, Marcello Federico, Yue Wang, Cuong Hoang, Yogesh Virkar, Roberto Barra-Chicote +1

ICASSP 2021accepted

Automatic dubbing aims at seamlessly replacing the speech in a video document with synthetic speech in a different language. The task implies many challenges, one of which is generating translations that not only convey the original content, but also match the duration of the corresponding utterance…

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