18 citations · 33 across the 5 of their papers we have counts for
9 papers
Serial Speakers: a Dataset of TV Series
Xavier Bost, Vincent Labatut, Georges Linares
For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plo…
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
Lucas Pascal, Xavier Bost, Benoît Huet
In recent years, representation learning approaches have disrupted many multimedia computing tasks. Among those approaches, deep convolutional neural networks (CNNs) have notably r…
Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Xavier Bost, Serigne Gueye, Vincent Labatut +4
Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most vi…
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding
Titouan Parcollet, Mohamed Morchid, Xavier Bost +1
Deep learning is at the core of recent spoken language understanding (SLU) related tasks. More precisely, deep neural networks (DNNs) drastically increased the performances of SLU…
Multiple topic identification in telephone conversations
Xavier Bost, Marc El Bèze, Renato De Mori
This paper deals with the automatic analysis of conversations between a customer and an agent in a call centre of a customer care service. The purpose of the analysis is to hypothe…
Constrained speaker diarization of TV series based on visual patterns
Xavier Bost, Georges Linares
Speaker diarization, usually denoted as the ''who spoke when'' task, turns out to be particularly challenging when applied to fictional films, where many characters talk in various…