Listen and tell me who the user is talking to: Automatic detection of the interlocutor’s type during a conversation-Reference-Cited by-同舟云学术

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Listen and tell me who the user is talking to: Automatic detection of the interlocutor’s type during a conversation

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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Author:

Hmamouche Youssef¹,Ochs Magalie²,Chaminade Thierry³,Prevot Laurent⁴

Affiliation:

1. Mohammed VI Polytechnic University,International Artificial Intelligence Center of Morocco,Rabat,Morocco

2. Aix-Marseille Université, CNRS, Université de Toulon,Laboratoire d’Informatique et des Systèmes, LIS, UMR7020,Marseille,France,13397

3. UMR 728. Aix-Marseille Université, CNRS, Université de Toulon,Institut de Neurosciences de la Timone,Marseille,France,13397

4. Aix-Marseille Université, CNRS, Université de Toulon,Laboratoire Parole et Langage,Marseille,France,13397

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9900506/9900507/09900632.pdf?arnumber=9900632

Reference24 articles.

1. Convolutional neural networks-based continuous speech recognition using raw speech signal;palaz;2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2015

2. E2E-SINCNET: Toward Fully End-To-End Speech Recognition

3. Sppas-multi-lingual approaches to the automatic annotation of speech;bigi;The Phonetician,2015

4. Toward an automatic prediction of the sense of presence in virtual reality environment;ochs;Proceedings of the 6th International Conference on Human-Agent Interaction,2018

5. Filled pauses as markers of discourse structure

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