Name
Abstract | ||
|---|---|---|
As interaction between human and computer continues to develop to the most natural form possible, it becomes more and more urgent to incorporate emotion in the equation. The field continues to develop, yet exploration of the subject in Indonesian is still very lacking. This paper presents the first study of emotion recognition in Indonesian, including the construction of the first emotionally colored speech corpus in the language, and the building of an emotion classifier through an optimized machine learning process. We construct our corpus using television talk show recordings in various topics of discussion, yielding colorful emotional utterances. In our machine learning experiment, we employ the support vector machine (SVM) algorithm with feature selection and parameter optimization to ensure the best resulting model possible. Evaluation of the experiment result shows recognition accuracy of 68.31% at best. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SLT.2014.7078619 | Spoken Language Technology Workshop |
Keywords | Field | DocType |
emotion recognition,feature selection,human computer interaction,learning (artificial intelligence),pattern classification,speech recognition,support vector machines,Indonesian television talk show recordings,SVM algorithm,colorful emotional utterances,emotion classifier,emotion recognition,emotionally colored speech corpus,feature selection,human computer interaction,optimized machine learning process,parameter optimization,support vector machine algorithm,Indonesian,SVM,acoustic,emotion recognition,speech | Speech corpus,Colored,Feature selection,Computer science,Emotion recognition,Feature (machine learning),Artificial intelligence,Natural language processing,Classifier (linguistics),Indonesian,Pattern recognition,Support vector machine,Speech recognition | Conference |
ISSN | Citations | PageRank |
2639-5479 | 3 | 0.43 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lubis, N. | 1 | 3 | 0.43 |
| Lestari, D. | 2 | 3 | 0.43 |
| Purwarianti, A. | 3 | 12 | 2.09 |
| Sakti, S. | 4 | 19 | 3.10 |