Abstract
In this work we present the development of a multilingual deception detection model based on speech. In addition, we also develop a model that detects whether a statement will be perceived as a lie or not by human subjects. To this end, we developed a game for collecting a large scale and high quality labeled data-set in a controlled environments in English and Hebrew. We developed a model that can detect deception based only on a vocal statement from the participants of the experiment. The data-set will be released to the community.
| Original language | English |
|---|---|
| Title of host publication | The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 |
| Publisher | Association for Computing Machinery |
| Pages | 480-484 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450370240 |
| DOIs | |
| State | Published - 20 Apr 2020 |
| Event | 29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020 |
Publication series
| Name | The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 |
|---|
Conference
| Conference | 29th International World Wide Web Conference, WWW 2020 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 20/04/20 → 24/04/20 |
Bibliographical note
Publisher Copyright:© 2020 ACM.
Funding
This research was supported in part by the Ministry of Science, Technology & Space, Israel and the Ministry of Science and Technology of Taiwan.
| Funders | Funder number |
|---|---|
| Ministry of Science, Technology & Space, Israel | |
| Ministry of Science and Technology, Taiwan |
Keywords
- Agents
- Deception detection
- Lie detection
- Voice