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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun-Maw Cheng Yue-Sun Kuo Jun-Heng Yeh Yu-Te Chen Chien, C.S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Inst. of Inf. Sci., Acad. Sinica, Taipei (Yun-Maw Cheng; Yue-Sun Kuo) |
| Abstract | The proliferation of brand slogans via advertising channels is blurring the distinction between brains and brands. Brand slogans are designed to have positive effects on their brands. However, it is a non-trivial task to examine how brand slogans affect their customers' emotions and how emotions influence perceptions of brand images. In this paper we demonstrate the slogan validator, a novel and language-independent application that can be utilized to evaluate brand slogans by analyzing speech signals from customers' voice of slogans. The intention was to provide a means of exploring whether or not some of the claimed effects for existing brand slogans could actually be realized by the emotion recognition in speech technique rather than the traditional questionnaire responses. The preliminary results of the experiment show that the slogan validator yields high consistency with the participants' actual perceptions of the brand slogans chosen for this research. Moreover, the variation among participants' preferences of these brands can be identified |
| Starting Page | 238 |
| Ending Page | 242 |
| File Size | 568638 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780397517 |
| DOI | 10.1109/MMSP.2006.285305 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-03 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emotion recognition Speech recognition Computer science Advertising Speech analysis Psychology Information science Engineering management Natural languages Signal analysis speech signal processing brand slogan recognition of emotions |
| Content Type | Text |
| Resource Type | Article |
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