Name
Abstract | ||
|---|---|---|
Lighting can play a key role in the aesthetic concept of a theatrical production. This paper explores the field of augmented interaction with stage lighting, providing a synesthetic approach to emotion perception. In the audio driven framework that is presented, the actorsu0027 speech is captured by stage microphones. The signals are led to a Speech Emotion Recognition system that classifies them by emotion, which are thereafter matched to different colors. Thus, stage lighting color can change in real-time in accordance with the actoru0027s recognized speech emotion. The system is described in a generic form, suitable for different implementations of the main idea. For the purpose of this paper, 5 classes that represent different emotions were defined. Several audio features and classifiers were tested with audio data from different datasets of emotional speech to train a speech emotion recognition model. The final evaluation results are presented for the logistic regression classifier. Accuracy results and confusion matrix are presented for logistic regression classification. A wheel of emotions model for emotion visualization and color selection was adopted to render and simulate the colored lighting results. |
Year | Venue | Field |
|---|---|---|
2017 | Audio Mostly Conference | Colored,Confusion matrix,Visualization,Computer science,Emotion perception,Drama,Implementation,Speech recognition,Stage lighting,Classifier (linguistics) |
DocType | Citations | PageRank |
Conference | 1 | 0.38 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Vryzas | 1 | 4 | 2.46 |
| A. Liatsou | 2 | 1 | 0.38 |
| R. Kotsakis | 3 | 36 | 5.76 |
| Charalampos Dimoulas | 4 | 104 | 12.35 |
| G. Kalliris | 5 | 277 | 14.72 |