Abstract
In this paper we present the newest version of retico - a python-based incremental dialogue framework to create state-of-the-art spoken dialogue systems and simulations. Retico provides a range of incremental modules that are based on services like Google ASR, Google TTS and Rasa NLU. Incremental networks can be created either in code or with a graphical user interface. In this demo we present three use cases that are implemented in retico: a spoken translation tool that translates speech in real-time, a conversation simulation that models turn-taking and a spoken dialogue restaurant information service.- Anthology ID:
- 2020.sigdial-1.6
- Volume:
- Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- July
- Year:
- 2020
- Address:
- 1st virtual meeting
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 49–52
- Language:
- URL:
- https://aclanthology.org/2020.sigdial-1.6
- DOI:
- Cite (ACL):
- Thilo Michael. 2020. Retico: An incremental framework for spoken dialogue systems. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 49–52, 1st virtual meeting. Association for Computational Linguistics.
- Cite (Informal):
- Retico: An incremental framework for spoken dialogue systems (Michael, SIGDIAL 2020)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2020.sigdial-1.6.pdf