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20122026
most citedPower-law distributions in binned empirical data

284 citations · 354 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 1 cited

Speaker Diarization of Scripted Audiovisual Content

Yogesh Virkar, Brian Thompson, Rohit Paturi +2

The media localization industry usually requires a verbatim script of the final film or TV production in order to create subtitles or dubbing scripts in a foreign language. In part…

cs.CL2023

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters

Proyag Pal, Brian Thompson, Yogesh Virkar +3

To translate speech for automatic dubbing, machine translation needs to be isochronous, i.e. translated speech needs to be aligned with the source in terms of speech durations. We…

cs.CL2023★ 2 cited

Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing

Alexandra Chronopoulou, Brian Thompson, Prashant Mathur +3

Automatic dubbing (AD) is the task of translating the original speech in a video into target language speech. The new target language speech should satisfy isochrony; that is, the…

cs.CL2022★ 25 cited

Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing

William Brannon, Yogesh Virkar, Brian Thompson

We investigate how humans perform the task of dubbing video content from one language into another, leveraging a novel corpus of 319.57 hours of video from 54 professionally produc…

cs.CL2022★ 1 cited

Prosodic Alignment for off-screen automatic dubbing

Yogesh Virkar, Marcello Federico, Robert Enyedi +1

The goal of automatic dubbing is to perform speech-to-speech translation while achieving audiovisual coherence. This entails isochrony, i.e., translating the original speech by als…

cs.CL2021

Isometric MT: Neural Machine Translation for Automatic Dubbing

Surafel M. Lakew, Yogesh Virkar, Prashant Mathur +1

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. F…

cs.CL2021★ 2 cited

Isochrony-Aware Neural Machine Translation for Automatic Dubbing

Derek Tam, Surafel M. Lakew, Yogesh Virkar +2

We introduce the task of isochrony-aware machine translation which aims at generating translations suitable for dubbing. Dubbing of a spoken sentence requires transferring the cont…