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Gaoussou Youssouf Kebe

2 accepted papers

2022

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

AAAI 2022technical

Learning to understand grounded language, which connects natural language to percepts, is a critical research area. Prior work in grounded language acquisition has focused primarily on textual inputs. In this work, we demonstrate the feasibility of performing grounded language acquisition on paired…

2021

A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning

NeurIPS 2021poster

Grounded language acquisition is a major area of research combining aspects of natural language processing, computer vision, and signal processing, compounded by domain issues requiring sample efficiency and other deployment constraints. In this work, we present a multimodal dataset of RGB+depth ob…

Cited by 24SourceScholar