Artificial Retrieval of Information Assistants - Virtual Agents with Linguistic Understanding, Social skills, and Personalised Aspects | ARIA-VALUSPA | Project | Results | H2020 | CORDIS

Risultati finali

Implementation of multi-lingual task-based dialogue system for the chosen scenario

Implementation of multilingual taskbased dialogue system for the chosen scenario

Multi-lingual realisation of Book-ARIA using M2 system

Multilingual realisation of BookARIA using milestone 2 system

Implementation of adaptive task-based dialogue system

Implementation of adaptive taskbased dialogue system

Implementation of cross-domain, context-sensitive speech analysis

Implementation of crossdomain contextsensitive speech analysis

First integrated system with simple support for web and mobile device user interfaces

The first integrated system with simple support for web and mobile device user interfaces

Release of the multilingual, adaptive dialogue toolbox

Release of the multilingual adaptive dialogue toolbox

Implementation of long-term adaptation for speech analysis

Implementation of longterm adaptation for speech analysis

Implementation of adaptive audiovisual communicative behaviour generation
Uni-lingual realisation of Book-ARIA using M1 system

Unilingual realisation of BookARIA using the system delivered at Milestone 1

Implementation of overall dynamic audiovisual communicative behaviour generation
Fine-tuned, multi-lingual realisation of Book-ARIA using M3 system

Finetuned multilingual realisation of BookARIA using M3 system

Second integrated system with improved real-time capabilities in distributed environments

Second integrated system with improved realtime capabilities in distributed environments

Final adaptive audiovisual communicative behaviour generation
Final integrated system with documented support for web standard technologies
Implementation of multi-lingual user- and environment-adaptive speech analysis

Implementation of multilingual user and environmentadaptive speech analysis

Ethical Policies

Report on applied ethical practices including informed consent forms ethical approval for experiments and data collection and certifications of compliance with national and EU legislation

Final report on standardisation and workshops activities
Evaluation report
Data Management Plan

The Data Management Plan will describe the data management life cycle for the Wizard of Oz and fully automatic ARIA generated data sets It will outline how our collected research data will be handled during and after ARIAVALUSPA It will describe what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preservedWe are committed to making all our data fully available to the research community through easily accessible web interfaces similar to the SEMAINE database A minor part of the data may be temporarily withheld from the public to allow the team to organise challenges for the research community on unseen data

Public access to interactive ARIA-VALUSPA platform under a research license
Project website, first version

Project website first version

Public access to interactive system data
Public access to labelled Wizard-of-Oz data

Public access to labelled WizardofOz data

Pubblicazioni

Cascaded continuous regression for real-time incremental face tracking

Autori: E. Sánchez-Lozano, B. Martinez, G. Tzimiropoulos, M.F. Valstar
Pubblicato in: ECCV, 2016
Editore: IEEE

Topic switch models for dialogue management in virtual humans

Autori: W. Zhu, A. Chowanda, M.F. Valstar
Pubblicato in: IVA, 2016
Editore: Springer

Deep canonical time warping

Autori: George Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Björn Schuller
Pubblicato in: CVPR, 2016
Editore: IEEE

Facing realism in spontaneous emotion recognition from speech: feature enhancement by autoencoder with LSTM neural networks

Autori: Zixing Zhang, Fabien Ringeval, Jing Han, Jun Deng, Erik Marchi, Björn Schuller
Pubblicato in: Interspeech, 2016
Editore: ISCA

Classifying emotion-antecedent appraisal in brain activity using machine learning methods

Autori: Kornelia Gentsch, Eduardo Coutinho, Florian Eyben, Björn Schuller, Klaus R. Scherer
Pubblicato in: 2015
Editore: ISRE

Dynamic active learning based on agreement, applied to emotion recognition in spoken interactions

Autori: Yue Zhang, Eduardo Coutinho, Zixing Zhang, Caijiao Quan, Björn Schuller
Pubblicato in: ICMI, 2016
Editore: ACM

AV+EC 2015 –- The first affect recognition Challenge bridging across audio, video, and physiological Data

Autori: Fabien Ringeval, Björn Schuller, Michel Valstar, Shashank Jaiswal, Erik Marchi, Denis Lalanne, Roddy Cowie, Maja Pantic
Pubblicato in: MM, 2015
Editore: ACM

Agreement-based dynamic active learning with least, medium certainty query strategies

Autori: Yue Zhang, Eduardo Coutinho, Zixing Zhang, Caijiao Quan, Björn Schuller
Pubblicato in: Advances in Active Learning : Bridging Theory, Practice Workshop, 2015
Editore: IMLS

Cross Modal Evaluation of High Quality Emotional Speech Synthesis with the Virtual Human Toolkit

Autori: B. Potard, M. Aylett, D. Braude.
Pubblicato in: IVA, 2016
Editore: Springer

Sincerity, deception in speech: Two sides of the same coin? A transfer- and multi-task learning perspective

Autori: Yue Zhang, Felix Weninger, Zhao Ren, Björn Schuller
Pubblicato in: ICMI, 2016
Editore: ACM

Computational Models of Emotion, Personality, and Social Relationships for Interactions in Games

Autori: A. Chowanda, P. Blanchfield, M. Flintham and M.F. Valstar
Pubblicato in: AAMAS, 2016
Editore: IFAAMAS

Combining Hierarchical Classification with Frequency Weighting for the Recognition of Eating Conditions

Autori: Johannes Wagner, Andreas Seiderer, Florian Lingenfelser, Elisabeth André
Pubblicato in: Interspeech, 2015
Editore: ISCA

Building autonomous sensitive artificial listeners (extended abstract)

Autori: Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn Schuller, Etienne de Sevin, Michel Valstar, Martin Wöllmer
Pubblicato in: ACII, 2015
Editore: IEEE

TRIC-track: Tracking by Regression with Incrementally Learned Cascades

Autori: X. Wang, M.F. Valstar, B. Martinez, M.H. Khan, T.P. Pridmore
Pubblicato in: ICCV, 2015
Editore: IEEE

AV+ EC 2015--The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

Autori: Ringeval, F., Schuller, B., Valstar, M., Jaiswal, S., Marchi, E., Lalanne, D., Cowie, R. and Pantic, M
Pubblicato in: AVEC, 2015
Editore: ACM

Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user’s likes and dislikes

Autori: Caroline Langlet, Chloe Clavel
Pubblicato in: ACL, 2015
Editore: Association for Computational Linguistics and The Asian Federation of Natural Language Processing

Don't Say Yes, Say Yes: Interacting with Synthetic Speech Using Tonetable

Autori: M. Aylett, B. Potard, G. Pullin, S. Hennig, D. Braude, M. Antunes Ferreira
Pubblicato in: CHI EA '16, 2016
Editore: ACM

On rater reliability, correlation based dynamic active learning

Autori: Yue Zhang, Eduardo Coutinho, Zixing Zhang, Michael Adam, Björn Schuller
Pubblicato in: ACII, 2015
Editore: AAAC

Bird sounds classification by large scale acoustic features, extreme learning machine

Autori: Kun Qian, Zixing Zhang, Fabien Ringeval, Björn Schuller
Pubblicato in: GlobalSIP, 2015
Editore: IEEE

Face reading from speech –- predicting facial action units from audio cues

Autori: Fabien Ringeval, Erik Marchi, Marc Mehu, Klaus Scherer, Björn Schuller
Pubblicato in: Interspeech, 2015
Editore: ISCA

The Effects of Interrupting Behavior on Interpersonal Attitude and Engagement in Dyadic Interactions

Autori: Angelo Cafaro, Nadine Glas, Catherine Pelachaud
Pubblicato in: AAMAS, 2016
Editore: Springer

Exploring the importance of individual differences to the automatic estimation of emotions induced by music

Autori: Hesam Sagha, Eduardo Coutinho, Björn Schuller
Pubblicato in: MM, 2015
Editore: ACM

Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection

Autori: T. Almaev, B. Martinez and M.F. Valstar
Pubblicato in: ICCV, 2015
Editore: IEEE

Adapting sentiment analysis to face-to-face human-agent interactions: from detection to evaluation issues

Autori: Caroline Langlet, Chloe Clavel
Pubblicato in: ACII, 2016
Editore: IEEE

Automatically estimating emotion music using long-short term memory recurrent neural networks

Autori: Eduardo Coutinho, George Trigeorgis, Stefanos Zafeiriou, Björn Schuller
Pubblicato in: Interspeech, 2015
Editore: CEUR

Artificial Personality and Disfluency

Autori: M. Wester, M. Aylett, M. Tomalin, R. Dall
Pubblicato in: Interspeech, 2015
Editore: ISCA

Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection

Autori: Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn Schuller
Pubblicato in: OJCNN, 2015
Editore: IEEE

The ICL-TUM-PASSAU approach for the MediaEval 2015 “Affective Impact of Movies” task

Autori: George Trigeorgis, Eduardo Coutinho, Fabien Ringeval, Erik Marchi, Stefanos Zafeiriou, Björn Schuller
Pubblicato in: Interspeech, 2015
Editore: CEUR

Learning to combine local models for Facial Action Unit detection

Autori: S. Jaiswal, B. Martinez, M.F. Valstar
Pubblicato in: FERA, 2015
Editore: IEEE

AVEC 2015 – The 5th International Audio/Visual Emotion Challenge and Workshop

Autori: Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, Maja Pantic
Pubblicato in: MM, 2015
Editore: ACM

Playing with Social and Emotional Game Companions

Autori: A. Chowanda, P. Blanchfield, M. Flintham and M.F. Valstar
Pubblicato in: IVA, 2016
Editore: Springer

Deep bidirectional long short-term memory recurrent neural networks for grapheme-to-phoneme conversion utilizing complex many-to many alignments

Autori: Amr El-Desoky Mousa, Björn Schuller
Pubblicato in: Interspeech, 2016
Editore: ISCA

The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception & Sincerity

Autori: Björn Schuller, Stefan Steidl, Anton Batliner, Julia Hirschberg, Judee K. Burgoon, Alice Baird, Aaron Elkins, Yue Zhang, Eduardo Coutinho, Keelan Evanini
Pubblicato in: ICMI, 2016
Editore: ISCA

AVEC 2016 – Depression, Mood, and Emotion Recognition Workshop and Challenge

Autori: Valstar, M.F., Gratch, J., Schuller, B., Ringeval, F., Lalanne, D., Torres Torres, M., Scherer, S., Stratou, G., Cowie, R. and Pantic, M
Pubblicato in: ACM Multimedia 2016, 2016
Editore: ACM

Speech analysis in the big data era

Autori: Björn Schuller
Pubblicato in: TSD, 2015
Editore: Springer

Deep Learning the Dynamic Appearance and Shape of Facial Action Units

Autori: S. Jaiswal, M.F. Valstar
Pubblicato in: IEEE WACV, 2016
Editore: IEEE

ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016

Autori: Escalera, S., Torres Torres, M., Martinez, B., Baró, X. and Escalante, H.J., Guyon I., Tzimiropoulos, G., Corneau, C., Oliu, M., Bagheri, M.A., Valstar, M.F.
Pubblicato in: CVPR, 2016
Editore: IEEE

Enhanced semi-supervised learning for multimodal emotion recognition

Autori: Zixing Zhang, Fabien Ringeval, Bin Dong, Eduardo Coutinho, Erik Marchi, Björn Schuller
Pubblicato in: ICASSP, 2016
Editore: IEEE

Does my speech rock? Automatic assessment of public speaking skills

Autori: Lucas Azais, Adrien Payan, Tianjiao Sun, Guillaume Vidal, Tina Zhang, Eduardo Coutinho, Florian Eyben, Björn Schuller
Pubblicato in: Interspeech, 2015
Editore: ISCA

Semi-autonomous data enrichment based on cross-task labelling of missing targets for holistic speech analysis

Autori: Yue Zhang, Yuxiang Zhou, Jie Shen, Björn Schuller
Pubblicato in: ICASSP, 2016
Editore: IEEE

An Open Source Kaldi Based Parametric Speech Synthesiser based on DNN

Autori: B. Potard, M. Aylett, D. Braude, P. Motlicek
Pubblicato in: Interspeech, 2016
Editore: ISCA

Adieu features? End-to-end apeech emotion recognition using a deep convolutional recurrent network

Autori: George Trigeorgis, Fabien Ringeval, Raymond Brückner, Erik Marchi, Mihalis Nicolaou, Björn Schuller, Stefanos Zafeiriou
Pubblicato in: ICASSP, 2016
Editore: IEEE

Sentiment analysis, opinion mining: on optimal parameters and performances

Autori: Björn Schuller, Amr El-Desoky Mousa, Vryniotis Vasileios
Pubblicato in: Wiley Interdisciplinary Reviews: Data Mining, Knowledge Discovery, 2015, ISSN 1942-4787
Editore: John Wiley and Sons Inc.

A deep matrix factorization method for learning attribute representations

Autori: George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Björn Schuller
Pubblicato in: PAMI, 2016, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers

Cascaded Regression with Sparsified Feature Covariance Matrix for Facial Landmark Detection

Autori: E. Sánchez-Lozano, B. Martinez, M.F. Valstar
Pubblicato in: Pattern Recognition Letters, 2016, ISSN 0167-8655
Editore: Elsevier BV

L21-based regression and prediction accumulation across views for robust facial landmark detection

Autori: B. Martinez and M.F. Valstar
Pubblicato in: Image and Vision Computing, 2015, ISSN 0262-8856
Editore: Elsevier BV

From opinion mining to human-agent interaction

Autori: Chloé Clavel, Zoraida Callejas
Pubblicato in: IEEE TAC, 2016, ISSN 1949-3045
Editore: Institute of Electrical and Electronics Engineers

Grounding the detection of the user’s likes ´ and dislikes on the topic structure of human-agent interactions

Autori: Caroline Langlet, Chloe Clavel
Pubblicato in: KBS, 2016, ISSN 0950-7051
Editore: Elsevier BV

Context-Aware Automated Analysis and Annotation of Social Human-Agent Interactions

Autori: Tobias Baur, Gregor Mehlmann, Ionut Damian, Florian Lingenfelser, Johannes Wagner, Birgit Lugrin, Elisabeth André, Patrick Gebhard
Pubblicato in: ACM Transactions on Interactive Intelligent Systems (TiiS) 5.2, 2015, ISSN 2160-6455
Editore: Association for Computing Machinery (ACM)

Automatic estimation of biosignals from the human voice

Autori: Eduardo Coutinho, Björn Schuller
Pubblicato in: Science, Special Supplement on Advances in Computational Psychophysiology, 2015, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity

Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition

Autori: B. Martinez and M.F. Valstar
Pubblicato in: Advances in Face Detection and Facial Image Analysis, 2016
Editore: Springer

Fostering user engagement in face-to-face human-agent interactions: a survey

Autori: Clavel, C., Cafaro, A., Campano, S., & Pelachaud, C.
Pubblicato in: Toward Robotic Socially Believable Behaving Systems-Volume II, 2016
Editore: Springer

Modeling User’s Social Attitude in a Conversational System

Autori: Tobias Baur, Dominik Schiller, Elisabeth André
Pubblicato in: Emotions and Personality in Personalized Services, 2016
Editore: Springer

Artificial Retrieval of Information Assistants - Virtual Agents with Linguistic Understanding, Social skills, and Personalised Aspects

Risultati finali

Pubblicazioni

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