Open AccessIs it time to switch to word embedding and recurrent neural networks for spoken language understanding?
Author(s) -
Vedran Vukotić,
Christian Raymond,
Guillaume Gravier
Publication year - 2015
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2015-41
Subject(s) - computer science , recurrent neural network , word embedding , artificial neural network , embedding , word (group theory) , conditional random field , spoken language , classifier (uml) , artificial intelligence , language model , time delay neural network , sequence (biology) , natural language processing , types of artificial neural networks , speech recognition , linguistics , philosophy , biology , genetics
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