LinTO

Open Source, Privacy-Aware Voice Assistant

The goal of the LinTO project was to develop a conversational assistant for businesses that allows its users to control a variety of services with their voices. An extension of the collaborative platform OpenPaaS, the LinTO assistant has been designed to accompany employees throughout their daily tasks and interactions.

 

Research and development in the LinTO project pursued two paths. The first was to create functionalities common to personal assistants, allowing users to use their voice to read their mails, consult their agendas, open and share documents, search for information and so on. The second consisted in developing advanced options to produce high-quality transcriptions of full multi-party conversations and follow conversational exchanges in order to take notes, produce relevant real time recommendations, and automatically generate meeting minutes.

 

LinTO has been developed both as a device that runs on the Raspberry Pi (or other ARM smart boards) and as an open-source platform that can be deployed, adapted or maintained either directly on a company’s premises or remotely as a service (SaaS).
 

BPI / PIA Grands Défis du Numérique (P169201) 

1 April, 2018 – 31 March, 2021

Lead: LINAGORA

People

Jean-Pierre Lorré

Jean-Pierre Lorré

R&D Director
Rudy Baraglia

Rudy Baraglia

Voice Interfaces
Mohamed Ben Ali

Mohamed Ben Ali

Computer Vision
Yazid Benazzouz

Yazid Benazzouz

Autonomic Computing
Sami Benhamiche

Sami Benhamiche

Speech Recognition
Wajdi Ghezaiel

Wajdi Ghezaiel

Speech & Speaker Recognition
Yoann Houpert

Yoann Houpert

Full Stack Developer
Julie Hunter

Julie Hunter

NLP
Damien Lainé

Damien Lainé

Head of R&D Engineering
Romain Lopez

Romain Lopez

Full Stack Developer
Ilyes Rebai

Ilyes Rebai

Speech Recognition
Zied Sellami

Zied Sellami

NLP
Guokan Shang

Guokan Shang

NLP
Samir Tanfous

Samir Tanfous

Speech Recognition & NLP
Kate Thompson

Kate Thompson

NLP
Ons Wechtati

Ons Wechtati

NLP
Sarah Zribi

Sarah Zribi

Project Manager

Partners

logo IRIT
logo Laas
logo LINAGORA
logo LIX
logo Zelros

Publications

2020

LinTO Platform: A Smart Open Voice Assistant for Business Environments

The 1st International Workshop on Language Technology Platforms (IWLTP)

#Ilyes Rebai, #Kate Thompson, #Sami Benhamiche, #Zied Selami, #Damien Lainé, #Jean-Pierre Lorré

#Speech, #Language, #LinTO

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Modelling Structures for Situated Discourse

Dialogue & Discourse, vol. 11 (1): 89-121

Nicholas Asher, #Julie Hunter, #Kate Thompson

#Language, #LinTO

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Speaker-change Aware CRF for Dialogue Act Classification

The 28th International Conference on Computational Linguistics (COLING)

#Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, #Jean-Pierre Lorré

#Language, #LinTO

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Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP)

#Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, #Jean-Pierre Lorré

#Language, #LinTO

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2019

Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning

20th Annual Conference of the International Speech Communication Association (Interspeech)

Abdelwahab Heba, Thomas Pellegrini, #Jean-Pierre Lorré, Régine Andre-Obrecht

#Speech, #LinTO

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LinTO : Assistant vocal open-source respectueux des données personnelles pour les réunions d’entreprise

Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle (APIA)

#Jean-Pierre Lorré, Isabelle Ferrané, Francisco Madrigal, Michalis Vazirgiannis, Christophe Bourguignat

#LinTO

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Intégration de l’assistance vocale dans les produits IoT : cas du projet LinTO

INFormatique des ORganisations et Systèmes d’Information et de Décision (INFORSID)

#Yoann Houpert, #Sami Benhamiche, #Damien Lainé, #Yazid Benazzouz, #Jean-Pierre Lorré

#LinTO

Weak Supervision for Learning Discourse Structure

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Sonia Badene, #Kate Thompson, #Jean-Pierre Lorré, Nicholas Asher

#Language, #LinTO

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2018

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

The 56th Annual Meeting of the Association for Computational Linguistics (ACL)

#Guokan Shang, Wensi Ding, Zekun Zhang, Antoine J.-P. Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, #Jean-Pierre Lorré

#LinTO, #Language

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