| Autor: |
Jürgen Trouvain, Benjamin Weiss |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Frontiers in Computer Science, Vol 4 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2624-9898 |
| DOI: |
10.3389/fcomp.2022.885657 |
| Popis: |
In this perspective paper we explore the question how audible smiling can be integrated in speech synthesis applications. In human-human communication, smiling can serve various functions, such as signaling politeness or as a marker of trustworthiness and other aspects that raise and maintain the social likeability of a speaker. However, in human-machine communication, audible smiling is nearly unexplored, but could be an advantage in different applications such as dialog systems. The rather limited knowledge of the details of audible smiling and their exploitation for speech synthesis applications is a great challenge. This is also true for modeling smiling in spoken dialogs and testing it with users. Thus, this paper argues to fill the research gaps in identifying factors that constitute and affect audible smiling in order to incorporate it in speech synthesis applications. The major claim is to focus on the dynamics of audible smiling on various levels. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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