17 citations · 18 across the 3 of their papers we have counts for
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cs.LG2018
Neural separation of observed and unobserved distributions
Tavi Halperin, Ariel Ephrat, Yedid Hoshen
Separating mixed distributions is a long standing challenge for machine learning and signal processing. Most current methods either rely on making strong assumptions on the source…
cs.CV2018
Dynamic Temporal Alignment of Speech to Lips
Tavi Halperin, Ariel Ephrat, Shmuel Peleg
Many speech segments in movies are re-recorded in a studio during postproduction, to compensate for poor sound quality as recorded on location. Manual alignment of the newly-record…
cs.SD2018
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
Ariel Ephrat, Inbar Mosseri, Oran Lang +5
We present a joint audio-visual model for isolating a single speech signal from a mixture of sounds such as other speakers and background noise. Solving this task using only audio…