Name
Abstract | ||
|---|---|---|
Speech is an effective medium to express emotions and attitude through language. Finding the emotional content from a speech signal and identify the emotions from the speech utterances is an important task for the researchers. Speech emotion recognition has considered as an important research area over the last decade. Many researchers have been attracted due to the automated analysis of human affective behaviour. Therefore a number of systems, algorithms, and classifiers have been developed and outlined for the identification of emotional content of a speech from a person’s speech. In this study, available literature on various databases, different features and classifiers have been taken in to consideration for speech emotion recognition from assorted languages. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10772-018-9491-z | I. J. Speech Technology |
Keywords | Field | DocType |
Speech corpus, Excitation features, Spectral features, Prosodic features, Classifiers, Emotion recognition | Speech corpus,Emotion recognition,Computer science,Speech recognition,Affect (psychology),Database | Journal |
Volume | Issue | ISSN |
21 | 1 | 1381-2416 |
Citations | PageRank | References |
10 | 0.56 | 73 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monorama Swain | 1 | 10 | 0.90 |
| Aurobinda Routray | 2 | 337 | 52.80 |
| Prithviraj Kabisatpathy | 3 | 14 | 1.65 |