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This paper contains a PhD research proposal related to the domain of automatic emotion recognition from speech signal. We started by identifying our research problem, namely the acute confusion problem between emotion classes and we have cited different sources of this ambiguity. In the methodology section, we presented a method based on simililarity concept between a class and an instance patterns. We dubbed this method as Weighted Ordered classes - Nearest Neighbors. The first result obtained exceeds in performance the best result of the state-of-the art. Finally, as future work, we have made a proposition to improve the performance of the proposed system.