Name
Abstract | ||
|---|---|---|
In this paper we present our study on expressive gibberish speech synthesis as a means for affective communication between computing devices, such as a robot or an avatar, and their users. Gibberish speech consists of vocalizations of meaningless strings of speech sounds and is sometimes used by performing artists to express intended (and often exaggerated) emotions and affect, such as anger and surprise, without actually pronouncing any understandable word. The advantage of gibberish in affective computing lies with the fact that no understandable text has to be pronounced and that only affect is conveyed. This can be used to test the effectiveness of affective prosodic strategies, for example, but it can also be applied in actual systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15760-8_74 | TSD |
Keywords | Field | DocType |
actual system,affective prosodic strategy,understandable word,speech sound,affective communication,gibberish speech,affective computing,affective human-computer interaction,meaningless string,expressive gibberish speech synthesis,understandable text,human computer interaction,speech synthesis | Speech synthesis,Computer science,Gibberish,Speech recognition,Natural language processing,Artificial intelligence,Anger,Affective computing,Surprise,Affect (psychology),Robot,Avatar | Conference |
Volume | ISSN | ISBN |
6231 | 0302-9743 | 3-642-15759-9 |
Citations | PageRank | References |
5 | 0.78 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Selma Yilmazyildiz | 1 | 31 | 4.21 |
| Lukas Latacz | 2 | 67 | 7.76 |
| Wesley Mattheyses | 3 | 61 | 7.70 |
| Werner Verhelst | 4 | 431 | 51.55 |