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…