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Antoine Caubrière

3 accepted papers

2021

End2End Acoustic to Semantic Transduction

ICASSP 2021accepted

In this paper, we propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism. It reliably selects contextual acoustic features in order to hypothesize semantic contents. An initial architecture capable of extracting all pronounced words and conce…

Cited by 0SourceScholar
2020

Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems

ICASSP 2020accepted

This work investigates the embeddings for representing dialog history in spoken language understanding (SLU) systems. We focus on the scenario when the semantic information is extracted directly from the speech signal by means of a single end-to-end neural network model. We proposed to integrate dia…

Cited by 15SourceScholar
2020

Error Analysis Applied to End-to-End Spoken Language Understanding

ICASSP 2020accepted

This paper presents a qualitative study of errors produced by an end-to-end spoken language understanding (SLU) system (speech signal to concepts) that reaches state of the art performance. Different studies are proposed to better understand the weaknesses of such systems: comparison to a classical…

Cited by 0SourceScholar