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De l'usage des métadonnées dans l'objet sonore

Abstract : Emotion recognition in music is an industrial and academic challenge. In the age of multimedia content explosion, we mean to design structured sets of terms, concepts and metadata facilitating access to organized knowledge. Here is our research question : can we have an a priori knowledge of emotion that could be elicited afterwards ? In other words, to what extent can we record emotions felt while listening to music, so as to turn them into metadata ? Can we create an algorithm enabling us to detect how emotions are released ? Are we likely to guess ad then elicit the emotion an individual will feel before listening to a particular song ? Can we formalize emotions to save, record and share them ? We are giving an overview of existing research, and tackling intrinsic epistemological issues related to emotion existing, recording and sharing out. Through a psychological, physiological ad philosophical approach, we are setting a theoretical framework, composed of five demonstrations which assert we cannot measure emotions in order to elicit them. Then, a practical approach will help us to understand the indexing process proposed in academic and industrial research environments. Through the analysis of quantitative and qualitative surveys, we are defining the production of an algorithm, enabling us to recommend musical works considering emotion.
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Submitted on : Friday, March 6, 2015 - 3:48:27 AM
Last modification on : Tuesday, June 15, 2021 - 3:17:55 PM
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  • HAL Id : tel-01124079, version 1



Jean Debaecker. De l'usage des métadonnées dans l'objet sonore. Sciences de l'information et de la communication. Université Charles de Gaulle - Lille III, 2012. Français. ⟨NNT : 2012LIL30051⟩. ⟨tel-01124079⟩



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