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Preliminary Evaluation of Speech-to-Text Query Application for Parts Database

Authors:
Yuichiro Aoki
Tadashi Takeuchi

Keywords: speech-to-text; SQL generation; natural language processing

Abstract:
To ensure the safety and security of workplaces and homes, parts replacement of mechanical/electric/electronic devices is inevitable, because they will gradually break down. Users have to search for the appropriate part numbers from a parts database to order and replace the parts. In many cases, users make phone calls to the support center of the vendors instead of searching by themselves, which can be inconvenient for the support center staff. In this paper, to reduce the number of phone calls to support centers, we propose a prototype of an automatic part number answering system from natural language. This system consists of open-source speech-to-text conversion and Structured Query Language (SQL) generation from the natural language. Preliminary evaluation results show that 83% of the voice questions returned the correct part numbers. In addition, the search with our system was executed an average of 3.86 times faster than with the conventional manual keyword search.

Pages: 8 to 11

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-798-6

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020