Voxento: a prototype voice-controlled interactive search engine for lifelogs
Alateeq, Ahmed 
ORCID: 0000-0001-7916-6393, Roantree, Mark ORCID: 0000-0002-1329-2570 and Gurrin, Cathal ORCID: 0000-0003-2903-3968
(2020)
Voxento: a prototype voice-controlled interactive search engine for lifelogs.
In: Third Annual Workshop on Lifelog Search Challenge (LSC'20), 27 Oct 2020, Dublin, Ireland.
ISBN 978-1-4503-7136-0
Abstract
In this paper, we describe an interactive voice-based retrieval system
for lifelogs which has been developed to participate in the third
Lifelog Search Challenge LSC’20, at ACM ICMR’20. Based on a
standard text-based retrieval methodology, the novelty of Voxento
is in the interactive voice facility that allows a user to interact
with a personal lifelog using simple voice commands. Voxento was
developed as an initial prototype of a pervasive computing system
that can be deployed for wearable technologies such as Google Glass.
The version of Voxento described in this paper has been optimised
for use with a desktop computer in order to be competitive at the
LSC’20 challenge.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Uncontrolled Keywords: | lifelog; speech recognition; voice interaction; interactive retrieval |
| Subjects: | UNSPECIFIED |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > INSIGHT Centre for Data Analytics |
| Published in: | Proceedings of the Third Annual Workshop on Lifelog Search Challenge (LSC'20). . Association for Computing Machinery (ACM). ISBN 978-1-4503-7136-0 |
| Publisher: | Association for Computing Machinery (ACM) |
| Official URL: | https://doi.org/10.1145/3379172.3391728 |
| Copyright Information: | © 2020 The Authors |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Science Foundation Ireland and the Insight Centre for Data Analytics through the grant number SFI/12/RC/2289-P2 |
| ID Code: | 24641 |
| Deposited On: | 17 Jun 2020 15:20 by Cathal Gurrin . Last Modified 12 May 2022 15:56 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
7MB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record