A Dataset for Speech Emotion Recognition in Greek Theatrical Plays

Maria Moutti, Sofia Eleftheriou, Panagiotis Koromilas, Theodoros Giannakopoulos


Abstract
Machine learning methodologies can be adopted in cultural applications and propose new ways to distribute or even present the cultural content to the public. For instance, speech analytics can be adopted to automatically generate subtitles in theatrical plays, in order to (among other purposes) help people with hearing loss. Apart from a typical speech-to-text transcription with Automatic Speech Recognition (ASR), Speech Emotion Recognition (SER) can be used to automatically predict the underlying emotional content of speech dialogues in theatrical plays, and thus to provide a deeper understanding how the actors utter their lines. However, real-world datasets from theatrical plays are not available in the literature. In this work we present GreThE, the Greek Theatrical Emotion dataset, a new publicly available data collection for speech emotion recognition in Greek theatrical plays. The dataset contains utterances from various actors and plays, along with respective valence and arousal annotations. Towards this end, multiple annotators have been asked to provide their input for each speech recording and inter-annotator agreement is taken into account in the final ground truth generation. In addition, we discuss the results of some indicative experiments that have been conducted with machine and deep learning frameworks, using the dataset, along with some widely used databases in the field of speech emotion recognition.
Anthology ID:
2022.lrec-1.111
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1040–1046
Language:
URL:
https://aclanthology.org/2022.lrec-1.111
DOI:
Bibkey:
Cite (ACL):
Maria Moutti, Sofia Eleftheriou, Panagiotis Koromilas, and Theodoros Giannakopoulos. 2022. A Dataset for Speech Emotion Recognition in Greek Theatrical Plays. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1040–1046, Marseille, France. European Language Resources Association.
Cite (Informal):
A Dataset for Speech Emotion Recognition in Greek Theatrical Plays (Moutti et al., LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.111.pdf
Code
 magcil/grethe
Data
IEMOCAP