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license: cc-by-4.0 |
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# Acted Emotional Speech Dynamic Database v1.0 |
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## ABOUT |
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AESDD v1.0 was created on October 2017 in the Laboratory of Electronic Media, School of |
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Journalism and Mass Communications, Aristotle University of Thessaloniki, for |
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the needs of Speech Emotion Recognition research of the Multidisciplinary Media & |
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Mediated Communication Research Group (M3C, http://m3c.web.auth.gr/). |
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It is a collection of utterances of emotional speech acted by professional actors. |
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This version is the initial state of AESDD. The purpose of this project the continuous |
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growth of the database through the collaborative effort of the M3C research group and |
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theatrical teams. |
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## CREATION OF THE DATABASE |
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For the creation of v.1 of the database, 5 (3 female and 2 male) professional actors were |
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recorded. 19 utterances of ambiguous out of context emotional content were chosen. The |
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actors acted these 19 utterances in every one of the 5 chosen emotions. One extra improvised |
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utterance was added for every actor and emotion. The guidance of the actors and the choice |
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of the final recordings were supervised by a scientific expert in dramatology. |
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For some of the utterances, more that one takes were qualified. |
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Consequently, around 500 utterances occured in the final database. |
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UPDATE: Since the AESDD is dynamic by definition, more actors have been recorded and added, |
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following the same naming scheme as described in the Section "ORGANISING THE DATABASE" |
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## CHOSEN EMOTIONS |
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Five emotions were chosen: |
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1. a (anger) |
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2. d (disgust) |
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3. f (fear) |
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4. h (happiness) |
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5. s (sadness) |
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## ORGANISING THE DATABASE |
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There are five folders, named after the five emotion classes. |
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Every file name in the databased is in the following form: xAA (B) |
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where |
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- x is the first letter of the emotion (a--> anger, h--> happiness etc.) |
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- AA is the number of the utterance (01,02...20) |
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- B is the number of the speaker (1 --> 1st speaker, 2 --> 2nd speaker etc) |
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e.g. 'a03 (4).wav' is the 3rd utterance spoken by the 4th speaker with anger |
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In the case where two takes were qualified for the same utterance, they are distinguished |
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with a lower case letter. |
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e.g. 'f18 (5).wav' and 'f18 (5)b.wav' are two different versions of the 5th actor saying the |
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18th utterance with fear. |
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## References |
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1. Vryzas, N., Kotsakis, R., Liatsou, A., Dimoulas, C. A., & Kalliris, G. (2018). Speech emotion recognition for performance interaction. Journal of the Audio Engineering Society, 66(6), 457-467. |
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2. Vryzas, N., Matsiola, M., Kotsakis, R., Dimoulas, C., & Kalliris, G. (2018, September). Subjective Evaluation of a Speech Emotion Recognition Interaction Framework. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion (p. 34). ACM. |
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