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In this paper, SER_AMPEL, a multi-source dataset for speech emotionrecognition (SER) is presented. The peculiarity of the dataset is that it iscollected with the aim of providing a reference for speech emotion recognitionin case of Italian older adults. The dataset is collected following differentprotocols, in particular considering acted conversations, extracted from moviesand TV series, and recording natural conversations where the emotions areelicited by proper questions. The evidence of the need for such a datasetemerges from the analysis of the state of the art. Preliminary considerationson the critical issues of SER are reported analyzing the classification resultson a subset of the proposed dataset.

SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults