S. Abrilian, Représentation de Comportements Emotionnels Multimodaux Spontanés : Perception, Annotation et Synthèse, Thèse de doctorat, 2007.

S. Abrilian, L. Devillers, and J. Martin, Annotation of Emotions in Real-Life Video Interviews: Variability between Coders, 5th Int. Conf. Language Resources and Evaluation, 2006.

O. Argaman, Linguistic Markers and Emotional Intensity, Journal of Psycholinguistic Research, vol.53, issue.3/4, pp.89-99, 2010.
DOI : 10.1007/s10936-009-9127-1

S. Arunachalam, D. Gould, E. Anderson, D. Byrd, and S. Narayanan, Politeness and frustration language in child?machine interactions, pp.2675-2678, 2001.

V. Aubergé, Prosodie et émotion, 2002.

M. Avanzi, A. Lacheret-dujour, N. Obin, and B. Victorri, Vers une mod??lisation continue de la structure prosodique: le cas des pro??minences syllabiques, Journal of French Language Studies, vol.21, issue.01, pp.53-71, 2011.
DOI : 10.3917/lang.171.0060

M. Avanzi, N. Obin, A. Lacheret-dujour, and B. Victorri4, Toward a Continuous Modeling of French Prosodic Structure: Using Acoustic Features to Predict Prominence Location and Prominence Degree, pp.2033-2036, 2011.
URL : https://hal.archives-ouvertes.fr/halshs-00636485

C. Balague, H. Ducourant, and F. Eloire, Description et analyse des données empiriques : Qu'est-ce qu'une conversation en centre d'appel ? Lille, pp.lem-cnrs, 2011.

C. Barras, Reconnaissance automatique des locuteurs pour la structuration en tours de parole, Informatique. Orsay, p.80, 2011.

C. Barras, X. Zhu, S. Meignier, and J. Gauvain, Multistage speaker diarization of broadcast news, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.5, pp.1505-15012, 2006.
DOI : 10.1109/TASL.2006.878261
URL : https://hal.archives-ouvertes.fr/hal-01434241

A. Batliner, K. Fisher, R. Huber, J. Spilker, and E. Noth, How to find trouble in communication, Speech Communication, vol.40, issue.1-2, pp.117-143, 2003.
DOI : 10.1016/S0167-6393(02)00079-1

A. Batliner, B. Schuller, D. Seppi, S. Steidl, L. Devillers et al., The Automatic Recognition of Emotions in Speech. Emotion-Oriented Systems Springer, pp.71-99, 2011.

A. Batliner, D. Seppi, S. Steidl, and B. Schuller, Segmentic into adequate units for automatic recognition of emotio-related episodes : A speech-based Approach Advances in humancomputer interaction 10, 2010.

A. Batliner, S. Steidl, B. Schuller, D. Seppi, K. Laskowksi et al., CEICES : Combining Efforts for Improving automatic Classification of Emotional user States: a « forced co-operation » initiative. fifth slovenian and first international language technologies conference, 2006.

G. Beller, Transformation of expressivity in speech. The Role of Prosody in the Expression of Emotions in English and in French, 2008.

G. Beller and X. Rodet, Content-based transformation of the expressivity in speech, ICPhS. Germany, 2007.

E. Benveniste, L'appareil formel de l'??nonciation, Langages, vol.5, issue.17, pp.12-18, 1970.
DOI : 10.3406/lgge.1970.2572

K. Bloom, N. Garg, and S. Argamon, Extracting Appraisal Expressions. NAACL HLT, pp.308-315, 2007.

K. Bloom, S. Stein, and S. Argamon, Appraisal extraction for news opinion analysis. Sixth NTCIR workshop meeting on evaluation of information access technologies: Information retrieval, question answering, and cross-lingual information access Tokyo, pp.279-285, 2007.

A. Blum and T. Mitchell, Combining labeled and unlabeled data with co-training, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, 1998.
DOI : 10.1145/279943.279962

J. C. Borda, Mémoire sur les élections au scrutin, Histoire de l'académie Royale des Sciences, 1781.

G. Boulakia, Phonosyntaxe: études psychoaccoustiques et linguistiques sur l'intonation et ses rapports avec la syntaxe, notament l'ordre des mots en français, 1979.

C. Breazeal, Emotion and sociable humanoid robots, International Journal of Human-Computer Studies, vol.59, issue.1-2, pp.119-155, 2003.
DOI : 10.1016/S1071-5819(03)00018-1

E. Breck, Y. Choi, and C. Cardie, Identifying expressions of opinion in context, 20th international Joint Conference on Artifical intelligence Hyderabad, 2007.

M. Brendel, R. Zacharelli, and L. Devillers, A Quick Sequential Forward Floating Feature Selection Algorithm for Emotion Detection from Speech, 2010.

E. Brill, Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging, Computational Linguistics, 1995.

M. Bulut, S. Shrikanth, S. Narayanan, and A. K. Syrdal, Expressive speech synthesis using a concatenative synthesizer, 2002.

F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss, A database of german emotional speech, Interspeech, pp.1517-1520, 2005.

F. Burkhardt, T. Polzehl, J. Stegmann, and F. Metze, Detecting real life anger, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
DOI : 10.1109/ICASSP.2009.4960695

C. Busso, Z. Deng, S. Yildirim, M. Bulut, C. M. Lee et al., Analysis of Emotion Recognition using Facial Expressions State College, 6th International Conference on Mutlmodal Interfaces, 2004.

F. Cailliau, A. Bouffier, M. Kucharski, S. Guillemin-lanne, L. Devillers et al., Etats de l'art sur la détection des émotions, des opinions et des sentiments dans des interactions clients agents des centres d'appels, Livrable du projet FUI voxFactory, 2010.

F. Cailliau and A. Cavet, Analyse des sentiments et transcription automatique : modélisation du déroulement de conversations téléphoniques, TAL, vol.51, issue.3, pp.131-154, 2010.

F. Cailliau and A. Giraudel, Enhanced Search and Navigation on Conversational Speech. Searching Spontaneous Conversational Speech Singapour, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00716073

N. Campbell and P. Mokhtari, Voice quality : the 4th prosodic dimension, 15th International Congress of Phonetic Sciences, pp.2417-2420, 2003.

G. Castellano, L. Kessous, and G. Caridakis, Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech, Emotion, vol.4868, pp.92-103, 2008.
DOI : 10.1007/978-3-540-85099-1_8
URL : http://dspace.lib.ntua.gr/handle/123456789/32231

P. Charaudeau, Grammaire du sens et de l'expression, pp.576-629, 1992.

Y. Chen and C. Lin, Combining SVMs with Various Feature Selection Strategies. Feature extraction, foundations and applications, 2005.

C. Chih-chung and L. , LIBSVM : a library for support vector machines, 2001.

H. H. Clark and E. F. Schaefer, Contributing to Discourse, Cognitive Science, vol.8, issue.2, pp.259-294, 1989.
DOI : 10.1207/s15516709cog1302_7

C. Clavel, Analyse et reconnaissance des manifestations acoustiques des émotions de type peur en situations anormales, 2007.

C. Clavel, Analyzes and recognition of the acoustic demonstrations of the emotions of the fear type in abnormal situations, 2007.

C. Clavel, G. Adda, F. Cailliau, M. Garnier-rizet, A. Cavetc et al., Spontaneous speech and opinion detection: mining call-centre transcripts, Language Resources and Evaluation, vol.21, issue.4, 2012.
DOI : 10.1007/s10579-013-9224-5

C. Clavel, I. Vasilescu, G. Richard, and L. Devillers, Voiced and Unvoiced Content of fear-type emotions in the SAFE Corpus, Proceedings of Speech Prosody, 2007.

J. Cohen, A Coefficient of Agreement for Nominal Scales, Educational and Psychological Measurement, vol.20, issue.1, pp.27-46, 1960.
DOI : 10.1177/001316446002000104

A. Cornuéjols, L. Miclet, and Y. Kodratoff, Apprentissage artificiel : Concepts et algorithmes, 2002.

R. Cowie, E. Douglas-cowie, B. Apolloni, . Taylorj, A. Romano et al., What a neural net needs to know about emotion words, 1999.

R. Cowie, E. Douglas-cowie, S. Savvidou, E. Mcmahon, M. Sawey et al., Feeltrace: an instrument of recording perceived emotion in real-time, ISCA ITRW on Speech and Emotion, pp.19-24, 2000.

R. Craggs, Annotating emotion in dialogue ? Issues and Approaches, 2004.

D. Mello, S. Graesser, and A. , Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features, User Modeling and Useradapted Interaction, vol.20, pp.147-187, 2010.

C. Danesi and C. Clavel, Impact of spontaneous speech features on business concept detection, Proceedings of the 2010 international workshop on Searching spontaneous conversational speech, SSCS '10, 2010.
DOI : 10.1145/1878101.1878105

C. Darwin, The Expression of the Emotions in Man and Animals, 1872.

L. Devillers, R. Cowie, J. Matin, E. Douglas-cowie, S. Abrilian et al., Real life emotions in French and English TV video clips: an integrated annotation protocol combining continuous and discrete approaches, 5th international conference on Language Resources and Evaluation, 2006.

L. Devillers and J. Martin, Coding Emotional Events in Audiovisual Corpora, 6th Int. Conf on Language Resources and Evaluation, 2008.

L. Devillers, I. Vasilescu, and L. Lamel, Emotion Detection in a task-oriented Dialog Corpus, IEEE International Confererence on Multimedia, ICME. Batimore, 2003.

L. Devillers, I. Vasilescu, and L. Lamel, Emotion detection in task-oriented dialogs corpus, ICME. IEEE, 2003.

L. Devillers, C. Vaudable, and C. Chastagnol, Real-life emotion-related states detection in call centers, 2010.

L. Devillers, L. Vidrascu, and L. Lamel, Emotion detection in real-life spoken dialogs recorded in call center, Journal of Neural Networks, vol.18, 2005.

L. Devillers, L. Vidrascu, L. Scherer, T. Bänziger, and E. Roach, Automatic detection of emotion from vocal expression. A blueprint for an affectively competent agent, Cross-fertilization between Emotion Psychology, Affective Neuroscience, and Affective Computing, pp.232-244, 2010.

D. Cristo and A. , De la métrique et du rythme de la parole ordinaire : l'exemple du français, 2007.

L. Dini, G. Mazinni, E. Douglas-cowie, N. Campbell, R. Cowie et al., Opinion classification through information extraction. CELI. Turin, ItalyEmotional speech: Towards a new generation of databases, Speech Communication, vol.40, issue.12, pp.33-60, 2002.

E. Douglas-cowie, R. Cowie, I. Sneddon, C. Cox, O. Lowry et al., The HUMAINE Database, Affective computing and intelligent interaction, 2007.
DOI : 10.1007/978-3-642-15184-2_14

E. Dubreil, M. Vernier, L. Monceaux, and B. Daille, Annotating opinion ? evaluation of blogs LREC Workshop on Sentiment Analysis: Metaphor, 2008.

P. Ekman, Basic Emotion. Handbook of Cognition and Emotion, 1999.

P. Ekman and W. V. Friesen, Unmasking the face -A guide to recognizing emotions from facial clues, 1975.

I. S. Engbert and A. V. Hansen, Documentation of the danish emoemotional speech database DES. Center for PersonKommunikation, 2007.

M. Erden and L. M. Arslan, Automatic Detection of Anger in Human-Human Call Center Dialogs, 2011.

F. Eyben, M. Wollmer, and B. Schuller, OpenEAR ??? Introducing the munich open-source emotion and affect recognition toolkit, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, pp.576-581, 2009.
DOI : 10.1109/ACII.2009.5349350

M. Eyben, F. Reiter, B. Schuller, B. Cox, E. Douglas-cowie et al., Abandoning Emotion Classes -Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies, 2008.

R. Fang, B. Chen, J. Wang, and C. Wu, Emotion Detection Based on Concept Inference and Spoken Sentence Analysis for Customer Service, 2011.

I. Fonagy, La vive voix, 1983.

N. H. Fridja, The Emotions Cambridge , UK, 1987.

M. Galley, K. Mckeown, J. Hirschberg, and E. Shriberg, Identifying agreement and disagreement in conversational speech, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, 2011.
DOI : 10.3115/1218955.1219040

M. Garnier-rizet, G. Adda, F. Cailliau, J. Gauvain, S. Guillemin-lanne et al., CallSurf -Automatic transcription, indexing and structuration of call center conversational speech for knowledge extraction and query by content, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00716016

M. Garnier, N. Heinrich, D. Dubois, M. Castellengo, J. Poitevineau et al., Etude de la qualité vocale dans le chant lyrique, Scolia, vol.20, pp.151-169, 2005.

J. Gauvain, L. Lamel, H. Schwenk, G. Adda, L. Chen et al., Conversational telephone speech recognition, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.212-215, 2003.
DOI : 10.1109/ICASSP.2003.1198755
URL : https://hal.archives-ouvertes.fr/hal-01454955

P. G. Georgiou, M. P. Black, A. C. Lammert, B. R. Baucom, and S. S. Narayanan, That's Aggravating, Very Aggravating " : Is It Possible to Classify Behaviors in Couple Interactions Using Automatically Derived Lexical Features? Affective Computing and Intelligent Interaction (ACII), 2011.

E. Goffman, Forms of Talk, 1981.

E. Goffman, Interaction Ritual -Essays on Face-to-Face Behavior Pantheon, 1982.

C. Goodwin and M. H. Goodwin, Assessment and the construction of context. Rethinking Context, language as an interactive phenomenon, Duranti A. and C, pp.147-189, 1992.

M. H. Goodwin and C. Goodwin, Emotion within Situated Activity, Linguistic Anthropology: A Reader. A. Duranti, pp.239-257, 2000.

J. Gratch and S. Marsella, A domain-independent framework for modeling emotion, Cognitive Systems Research, vol.5, issue.4, pp.269-306, 2004.
DOI : 10.1016/j.cogsys.2004.02.002

J. M. Grossberg and H. K. Wilson, Physiological changes accompanying the visualization of fearful and neutral situations., Journal of Personality and Social Psychology, vol.10, issue.2, pp.124-133, 1968.
DOI : 10.1037/h0026337

P. Gupta and N. Rajput, Two-Stream Emotion Recognition For Call Center Monitoring. Interspeech, 2007.

M. Hall and E. Frank, Combining Naive Bayes and Decision Tables. Twenty-First International FLAIRS Conference, 2008.

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, 2009.
DOI : 10.1145/1656274.1656278

M. Halliday, Introduction to Functional Grammar, 1994.

H. Hermansky and M. Morgan, RASTA processing of speech, Transactions on Speech and Audio Processing, pp.578-589, 1994.
DOI : 10.1109/89.326616

D. J. Hirst, D. Cristo, A. Nishinuma, and Y. , Prosodic parameters of French : a cross language approach, Contrastive Studies of Japanese and Other Languages Series, pp.7-20, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00292022

S. Hollard, M. Tomokiyo, and D. Tuffelli, Une Approche de l'expression orale des émotions : étude d'un corpus réel, 2005.

C. Hsu, C. Chang, and C. Lin, A Practical Guide to Support Vector Classication, 2010.

M. S. Hussain, R. A. Calvo, and P. A. Pour, Hybrid Fusion Approach for Detecting Affects from Multichannel Physiology. Affective Computing and Intelligent Interaction (ACII) Volume Part I, 2011.

L. Ilieva, Combining Pattern Classifiers : Methods and Algorithms, 2004.

A. Jackiewicz, T. Charnois, and S. Ferrari, Jugements d'évaluation et constituants périphériques, 2009.

W. James, What is an emotion?, pp.188-205, 1884.
DOI : 10.1037/10735-001

T. Joachims, Text categorization with Support Vector Machines: Learning with many relevant features, ECML-98, 10th European Conf. on Machine Learning, 1998.
DOI : 10.1007/BFb0026683

C. M. Jones and T. Troen, Biometric valence and arousal recognition. 19th Australasian conference on Computer-Human Interaction, pp.191-194, 2007.
DOI : 10.1145/1324892.1324929

P. N. Juslin and P. Laukka, Communication of emotions in vocal expression and music performance: Different channels, same code?, Psychological Bulletin, vol.129, issue.5, pp.770-814, 2003.
DOI : 10.1037/0033-2909.129.5.770

J. Kim, Bimodal emotion recognition using speech and physiological changes. Robust Speech Recognition and Understanding, 2007.

S. Kim, F. Valente, and A. Vinciarelli, Automatic detection of conflicts in spoken conversations: Ratings and analysis of broadcast political debates, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
DOI : 10.1109/ICASSP.2012.6289065

J. V. Kittler, M. Hatef, R. P. Duin, and J. Matas, On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.3, pp.226-239, 1998.
DOI : 10.1109/34.667881

P. R. Kleinginna and A. M. Kleinginna, A categorized list of emotion definitions, with suggestions for a consensual definition, Motivation and Emotion, vol.56, issue.4, pp.345-379, 1981.
DOI : 10.1007/BF00992553

L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms, IEEE Transactions on Neural Networks, vol.18, issue.3, 2004.
DOI : 10.1109/TNN.2007.897478

L. I. Kuncheva, J. C. Bezdek, and R. P. Duin, Decision templates for multiple classifier fusion: an experimental comparison, Pattern Recognition, vol.34, issue.2, pp.299-314, 2001.
DOI : 10.1016/S0031-3203(99)00223-X

A. Lacheret-dujour, La prosodie au coeur du verbal. Rééducation orthophonique, 49ème année, pp.87-104, 2011.

A. Lacheret-dujour, S. Kahane, P. Pietrandrea, M. Avanzi, and B. Victorri, Oui mais elle est o?? la coupure, l????? Quand syntaxe et prosodie s'entraident ou se compl??tent, Langue fran??aise, vol.170, issue.2, pp.61-80, 2011.
DOI : 10.3917/lf.170.0061

A. Lacheret, Le corps en voix ou l'expression prosodique des émotions, Evolutions psychomotrices, vol.23, issue.90, 2011.

L. Lam and C. Y. Suen, Optimal combinations of pattern classifiers, Pattern Recognition Letters, vol.16, issue.9, pp.945-954, 1995.
DOI : 10.1016/0167-8655(95)00050-Q

K. Lambrecht, Contraintes cognitives sur la syntaxe de la phrase en français parlé. Colloque International " Modèles Syntaxiques, 2008.

J. R. Landis and G. G. Koch, The Measurement of Observer Agreement for Categorical Data, Biometrics, vol.33, issue.1, pp.159-174, 1977.
DOI : 10.2307/2529310

J. Laver, The gift of speech, 1991.

C. Lee, S. Narayanan, and R. Pieraccini, Recognition of negative emotions from the speech signal, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01., pp.240-243, 2001.
DOI : 10.1109/ASRU.2001.1034632

C. M. Lee and S. Narayanan, Toward detecting emotions in spoken dialogs, IEEE Transactions on Speech and Audio Processing, vol.13, issue.2, pp.293-303, 2005.

C. M. Lee, S. S. Narayanan, and R. Pieraccini, Combining acoustic and language information for emotion recognition, 2002.

J. Lehuen and D. Luzzati, Un modèle dynamique de représentation des dialogues finalisés. l'action GENE du PRC-IA : Modélisation d'explications sur un corpus de dialogues, 1994.

J. Liscombe, G. Riccardi, and D. Hakkani-t¨ur, Using Context to Improve Emotion Detection in Spoken Dialog Systems, 2005.

N. Littlestone and M. Warmth, The Weighted Majority Algorithm, Information and Computation, vol.108, issue.2, pp.212-261, 1994.
DOI : 10.1006/inco.1994.1009

A. Lomsadze, V. Ter-hovhannisyan, Y. O. Chernoff, and M. Borodovsky, Gene identification in novel eukaryotic genomes by self-training algorithm, Nucleic Acids Research, vol.33, issue.20, pp.6494-6506, 2005.
DOI : 10.1093/nar/gki937

O. Losson, Modélisation du geste communicatif et réalisation d'un signeur virtuel de phrases en langue des signes française, Thèse de doctorat, 2000.

C. Y. Lu, J. S. Hong, and S. Cruz-lara, Emotion Detection in Textual Information by Semantic Role Labeling and Web Mining Techniques, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00105649

D. Luzzati, Recherches sur le dialogue homme-machine. Mod??les linguistiques et traitements automatiques, Thèse de Doctorat, 1989.
DOI : 10.3406/igram.1991.1915

D. Luzzati, Le dialogue verbal homme-machine, 1995.
URL : https://hal.archives-ouvertes.fr/hal-01437244

D. Luzzati, Corpus d'hier et d'aujourd'hui : progrès quantitatifs ou progrès qualitatifs Congrès Français fondamental, corpus oraux, contenus d'enseignement, 2005.

A. Mahdhaoui, Analyse de signaux sociaux pour la modélisation de l'interaction face à face, 2010.

C. D. Manning, P. Raghavan, and H. Schütze, Support vector machines and machine learning on documents. Introduction to Information Retrieval. Cambridge, 2008.

J. R. Martin and P. R. White, The Language of Evaluation: Appraisal in English, 2005.
DOI : 10.1057/9780230511910

P. Martin, Intonation du français, 2009.

S. Maurel and P. Curtoni, Classification d'opinions par méthodes symbolique, statistique et hybride. DEFT'07, 2007.

A. Mehrabian, Correlations of the PAD emotion scales with self-reported satisfaction in marriage and work, Genetic, Social, and General Psychology Monographs, 1998.

A. Mehrabian and R. J. , An Approach to Environmental Psychology, 1974.

A. Merhabian, Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament, Current Psychology, vol.13, issue.1, pp.261-292, 1996.
DOI : 10.1007/BF02686918

F. Metze, A. Batliner, F. Eyben, T. Polzehl, and B. S. Schuller, Emotion Recognition using Imperfect Speech Recognition, InterpSeech, pp.478-481, 2010.

R. Mihalcea, Co-training and Self-training for Word Sense Disambiguation HLT-NAACL, 2004.

G. Montacié and G. Chollet, Système de références pour l'évaluation d'applications et la caractérisation de base de données en reconnaissance automatique de la parole, 1987.

M. Morel and T. Bäzinger, Le r??le de l'intonation dans la communication vocale des ??motions, Cahiers de l'Institut de Linguistique de Louvain, pp.207-232, 2004.
DOI : 10.2143/CILL.30.1.519219

E. Mower, Affective interactions: analysis and recognition, 2010.

A. Ortony, G. L. Clore, and A. Collins, The Cognitive Structure of Emotion, 1988.
DOI : 10.1017/CBO9780511571299

B. Pang and L. Lee, A sentimental education, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, pp.271-278, 2002.
DOI : 10.3115/1218955.1218990

B. Pang and L. Lee, Opinion Mining and Sentiment Analysis, Foundations and Trends?? in Information Retrieval, vol.2, issue.1???2, 2008.
DOI : 10.1561/1500000011

S. Paumier, Manuel d'utilisation d'Unitex, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00639621

V. A. Petrushin, Emotion in speech : recognition and application to call centers, pp.7-10, 1999.

P. Petta, C. Pelachaud, and R. Cowie, Emotion-Oriented Systems, 2011.

R. W. Picard, Affective Computing Planalp S Communicating emotion: Social, moral and cultural processes, 1997.

R. Plutchick, A General Psychoevolutionary Theory Approaches to Emotion, pp.293-317, 1984.

T. Polzehl, A. Schmitt, F. Metze, and M. Wagner, Anger recognition in speech using acoustic and linguistic cues, Speech Communication, vol.53, issue.9-10, pp.9-10, 2011.
DOI : 10.1016/j.specom.2011.05.002
URL : https://hal.archives-ouvertes.fr/hal-00779289

M. Porter, An algorithm for suffix stripping, Program, vol.14, issue.3, pp.130-137, 1980.
DOI : 10.1108/eb046814

R. Quirk, S. Greenbaum, G. Leech, and J. Svartvik, A comprehensive grammar of the English language, 1985.

L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, 1993.

H. Sacks, Lectures on conversation, 1992.
DOI : 10.1002/9781444328301

H. Sacks, E. Schegloff, and G. Jefferson, A simplest systematics for the organization of turn-taking for conversation, Language, vol.50, issue.4, pp.696-735, 1974.
DOI : 10.1353/lan.1974.0010

J. Savoy, Light stemming approaches for the French, Portuguese, German and Hungarian languages. symposium on Applied computing, 2006.

K. Scherer, Speech and emotionnal states. Speech Evaluation in psychiatry, J. Darby, 1981.

K. Scherer, Vocal affect signalling: A comparative approach Advances in the study of behavior 15, 1985.

K. Scherer, R. Banse, H. Wallbott, and T. Goldbeck, Vocal cues in emotion encoding and decoding, Motivation and Emotion, vol.52, issue.2, pp.123-148, 1991.
DOI : 10.1007/BF00995674

K. Scherer, T. Johnstone, and G. Klasmeyer, Vocal expression of emotion. Handbook of Affective Sciences, 2003.

K. Scherer and M. Peper, Psychological theories of emotion and neuropsychological research. Emotionnal behavior and its disorders, Amsterdam, vol.5, pp.17-48, 2001.

K. R. Scherer, Emotion as multicomponent process : A model of some cross-cultural data, Review of Personnality and social Psychology, vol.5, pp.37-63, 1984.

K. R. Scherer, The nature and function of emotion, Social Science Information, vol.21, issue.4-5, pp.293-317, 1984.
DOI : 10.1177/053901882021004001

K. R. Scherer, Appraisal theory. Handbook of congnition and emotion, pp.638-663, 1999.

K. R. Scherer, What are emotions? And how can they be measured?, Social Science Information, vol.42, issue.1, 2005.
DOI : 10.1177/0539018405058216

K. R. Scherer, R. Banse, and H. G. Wallbott, Emotion Inferences from Vocal Expression Correlate Across Languages and Cultures, Journal of Cross-Cultural Psychology, vol.32, issue.1, pp.76-92, 2001.
DOI : 10.1177/0022022101032001009

K. R. Scherer, T. Banziger, and E. Roesch, A Blueprint for Affective Computing, 2010.

K. R. Scherer, J. Koivumaki, and R. Rosenthal, Minimal cues in the vocal communication of affect: Judging emotions from content-masked speech, Journal of Psycholinguistic Research, vol.3, issue.3, 1972.
DOI : 10.1007/BF01074443

H. Schmid, Improvements in Part-of-Speech Tagging with an Application to German, 1995.
DOI : 10.1007/978-94-017-2390-9_2

M. Schröder, Experimental study of affect bursts, Speech Communication, vol.40, issue.1-2, 2001.
DOI : 10.1016/S0167-6393(02)00078-X

M. Schröder, L. Devillers, K. Karpouzis, J. Martin, C. Pelachaud et al., What should a generic emotion markup language be able to represent ? ACII, 2007.

M. Schröder, H. Pirker, and M. Lamolle, First Suggestions for an Emotion Annotation and Representation Language, LREC, pp.88-92, 2006.

B. Schuller, A. Batliner, S. Steidl, and D. Seppi, Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge, Speech Communication, vol.53, issue.9-10, pp.1062-1087, 2011.
DOI : 10.1016/j.specom.2011.01.011

B. Schuller, R. Muller, M. Lang, and G. Rigoll, Speaker Independent Emotion Recognition by Early Fusion of Acoustic and Linguistic Features within Ensembles, Interspeech, pp.805-808, 2005.

B. Schuller, S. Reiter, and G. Rigoll, Evolutionary Feature Generation in Speech Emotion Recognition, 2006 IEEE International Conference on Multimedia and Expo, pp.5-8, 2006.
DOI : 10.1109/ICME.2006.262500

B. Schuller, D. Seppi, A. Batliner, A. Maier, and S. Steidl, Towards More Reality in the Recognition of Emotional Speech, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, 2007.
DOI : 10.1109/ICASSP.2007.367226

B. Schuller, S. Steidl, and A. Batliner, The INTERSPEECH 2009 emotion challenge, pp.312-315, 2009.

B. Schuller, S. Steidl, A. Batliner, F. Burkhardt, L. Devillers et al., The INTERSPEECH 2010 paralinguistic challenge, 2010.

B. Schuller, S. Steidl, A. Batliner, F. Schiel, and J. Krajewski, The INTERSPEECH 2011 Speaker State Challenge. InterSpeech, 2011.

B. Schuller, B. Vlasenko, F. Eyben, G. Rigoll, and A. Wendemuth, Acoustic emotion recognition: A benchmark comparison of performances, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, pp.552-557, 2009.
DOI : 10.1109/ASRU.2009.5372886

B. Schuller, Z. Zhang, F. Weninger, and G. Rigoll, Selecting Training Data for Cross-Corpus Speech Emotion Recognition: Prototypicality vs. Generalization. Afeka-AVIOS Speech Processing Conference, 2011.

B. Schuller, Z. Zhang, F. Weninger, and G. Rigoll, Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote? InterSpeech, 2011.

G. Shafer, A Mathematical Theory of Evidence, 1976.

S. Somasundaran, J. Wiebe, P. Hoffmann, and D. Litman, Manual annotation of opinion categories in meetings. Workshop on Frontiers in Linguistically Annotated Corpora, 2006.

S. Steidl, Automatic Classification of Emotion-Related User States in Spontaneous Children's Speech, 2009.

R. Stern, Constitution d'un lexique de sentiment, 2008.

C. Stickel, M. Ebner, S. Steinbach-nordmann, G. Searle, and A. Holzinger, Emotion Detection: Application of the Valence Arousal Space for Rapid Biological Usability Testing to Enhance Universal Access, International Conference on Universal Access in Human Computer Interaction, pp.615-624, 2009.
DOI : 10.1007/978-3-642-02707-9_70

M. Tahon, A. Delaborde, C. Barras, and L. Devillers, A corpus for identification of speakers and their emotions LREC, 2010.

M. Tomokiyo, G. Chollet, and S. Hollard, Studies of emotional expressions in oral dialogues: towards an extension of Universal Networking Language. Universal Networking Language: advances in theory and applications, 2005.

P. Turney, Thumbs up or thumbs down ? semantic orientation applied to unsupervised classification of reviews, 40th Annual Meeting of the Association for computationnal Linguistics, 2002.

M. Utthara, S. Suranjana, D. Sukhendu, and C. Pinaki, A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification, IETE Technical Review, vol.27, pp.293-307, 2010.

M. Van-erp and L. Schomaker, Variants of the Borda count method for combining ranked classifieur hypotheses. 7th International Workshop on Frontiers in Handwriting Recognition Amsterdam, pp.443-452, 2000.

V. Vapnik, The Nature of Statistical Learning Theory, 1998.

C. Vaudable, C. Balagué, and L. Devillers, Study of consumer's emotion during product interviews. ACII, 2009.

C. Vaudable, N. Rollet, and L. Devillers, Annotation of Affective Interaction in Real-life Dialogs Collected in a Call-center LREC, 2010.

M. Vernier, S. Ferrari, and D. Legallois, Suivi d'opinions dans le discours, 2007.

M. Vernier, L. Monceaux, B. Daille, and E. Dubreil, Catégorisation des évaluations dans un corpus de blogs multi-domaine, 2009.

D. Ververidis and C. Kotropoulos, review of emotional speech databases, 9th Panhellenic Conference on Informatics, pp.560-574, 2003.

L. Vidrascu, Analyse et détection des émotions verbales dans les interactions orales, Thèse de doctorat, p.203, 2007.

L. Vidrascu and L. Devillers, Detection of Real-Life Emotions in Call Centers, 2005.

L. Vidrascu and L. Devillers, Annotation and detection of blended emotions in real humanhumain dialogs recorded in call center, ICME. Amsterdam, 2005.

L. Vidrascu and L. Devillers, Représentation et Détection des émotions dans des données issues de dialogues enregistrés dans des centres d'appels : des émotions mixtes dans des données réelles, 2006.

C. Whitelaw, N. Garg, and S. Argamon, Using appraisal groups for sentiment analysis, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, 2005.
DOI : 10.1145/1099554.1099714

J. Wiebe and E. Riloff, Creating Subjective and Objective Sentence Classifiers from Unannotated Texts, 6th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-05), 2005.
DOI : 10.1007/978-3-540-30586-6_53

J. Wiebe, T. Wilson, and C. Cardie, Annotating Expressions of Opinions and Emotions in Language, Language Resources and Evaluation, vol.7, issue.3, 2005.
DOI : 10.1007/s10579-005-7880-9

S. Yacoub, S. Simske, X. Lin, and J. Burns, Recognition of Emotions in Interactive Voice Response Systems. EUROSPEECH-2003, pp.729-732, 2003.

D. Yarowsky, Unsupervised word sense disambiguation rivaling supervised methods, Proceedings of the 33rd annual meeting on Association for Computational Linguistics -, pp.189-196, 1995.
DOI : 10.3115/981658.981684

A. Zara, V. Maffiolo, J. Martin, and L. Devillers, Collection and Annotation of a Corpus of Human-Human Multimodal Interactions: Emotion and Others Anthropomorphic Characteristics, Proceedings of the 2nd International Conference on Affective Com-puting and Intelligent Interaction, pp.464-475, 2007.
DOI : 10.1007/978-3-540-74889-2_41

X. Zhu, Semi-supervised learning literature survey, 2006.

E. Zwicker and R. Feldtkeller, Psychoacoustique, 1981.