An End-to-End Generative System for Smart Travel Assistant

Miraç Tuğcu, Begüm Erdinç, Tolga Çekiç, Seher Akay, Derya Uysal, Onur Deniz, Erkut Erdem

2024

Abstract

Planning a travel with a customer assistant is a multi-stage process that involves information collecting, and usage of search and reservation services. In this paper, we present an end-to-end system of a voice-enabled virtual assistant specifically designed for travel planning in Turkish. This system involves fine-tuned state-of-the-art models of Speech-to-text (STT) and Text-to-speech (TTS) models for increased success in the tourism domain for Turkish language as well as improvements to chatbot experience that can handle complex, multifaceted conversations that are required for planning a travel thoroughly. We detail the architecture of our voice-based chatbot, focusing on integrating STT and TTS engines with a Natural Language Understanding (NLU) module tailored for travel domain queries. Furthermore, we present a comparative evaluation of speech modules, considering factors such as parameter size and accuracy. Our findings demonstrate the feasibility of voice-based interfaces for streamlining travel planning and booking processes in Turkish language which lacks high-quality corpora of speech and text pairs.

Paper Citation

in Harvard Style

Tuğcu M., Erdinç B., Çekiç T., Akay S., Uysal D., Deniz O. and Erdem E. (2024). An End-to-End Generative System for Smart Travel Assistant. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 473-479. DOI: 10.5220/0013064200003838

in Bibtex Style

@conference{kdir24,
author={Miraç Tuğcu and Begüm Erdinç and Tolga Çekiç and Seher Akay and Derya Uysal and Onur Deniz and Erkut Erdem},
title={An End-to-End Generative System for Smart Travel Assistant},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={473-479},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013064200003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - An End-to-End Generative System for Smart Travel Assistant
SN - 978-989-758-716-0
AU - Tuğcu M.
AU - Erdinç B.
AU - Çekiç T.
AU - Akay S.
AU - Uysal D.
AU - Deniz O.
AU - Erdem E.
PY - 2024
SP - 473
EP - 479
DO - 10.5220/0013064200003838
PB - SciTePress