| Paper ID | MMSP-3.4 |
| Paper Title |
SHOW AND SPEAK: DIRECTLY SYNTHESIZE SPOKEN DESCRIPTION OF IMAGES |
| Authors |
Xinsheng Wang, Xi’an Jiaotong University, China; Siyuan Feng, Delft University of Technology, Netherlands; Jihua Zhu, Xi’an Jiaotong University, China; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Odette Scharenborg, Delft University of Technology, Netherlands |
| Session | MMSP-3: Multimedia Synthesis and Enhancement |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation |
Poster
|
| Topic |
Multimedia Signal Processing: Emerging Areas in Multimedia |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
This paper proposes a new model, referred to as the show and speak (SAS) model that, for the first time, is able to directly synthesize spoken descriptions of images, bypassing the need for any text or phonemes. The basic structure of SAS is an encoder-decoder architecture that takes an image as input and predicts the spectrogram of speech that describes this image. The final speech audio is obtained from the predicted spectrogram via WaveNet. Extensive experiments on the public benchmark database Flickr8k demonstrate that the proposed SAS is able to synthesize natural spoken descriptions for images, indicating that synthesizing spoken descriptions for images while bypassing text and phonemes is feasible. |
