no code implementations • 18 Nov 2020 • Manon Macary, Marie Tahon, Yannick Estève, Anthony Rousseau
Pre-training for feature extraction is an increasingly studied approach to get better continuous representations of audio and text content.
no code implementations • JEPTALNRECITAL 2020 • Manon Macary, Marie Tahon, Yannick Est{\`e}ve, Anthony Rousseau
AlloSat regroupe 303 conversations pour un total d{'}environ 37 heures d{'}audio, toutes enregistr{\'e}es dans des environnements r{\'e}els, collect{\'e}es par Allo-Media (une soci{\'e}t{\'e} sp{\'e}cialis{\'e}e dans l{'}analyse automatique d{'}appels).
no code implementations • LREC 2020 • Manon Macary, Marie Tahon, Yannick Est{\`e}ve, Anthony Rousseau
We present a new corpus, named AlloSat, composed of real-life call center conversations in French that is continuously annotated in frustration and satisfaction.
no code implementations • LREC 2014 • Anthony Rousseau, Paul Del{\'e}glise, Yannick Est{\`e}ve
In this paper, we present improvements made to the TED-LIUM corpus we released in 2012.
no code implementations • LREC 2012 • Anthony Rousseau, Paul Del{\'e}glise, Yannick Est{\`e}ve
This paper presents the corpus developed by the LIUM for Automatic Speech Recognition (ASR), based on the TED Talks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2