Speech Recognition for Inventory Management in Small Businesses

Bruno Tiglla-Arrascue, Junior Huerta-Pahuacho, Luis Canaval

2024

Abstract

In recent years, we have seen an increase in independent businesses working primarily focused on online sales, where they offer products through ads and manage the business with electronic tools. This could leave behind some traditional businesses, especially those that are managed by a single family, where the adaption of new technologies is slower than new business. That’s why we want to give them a tool that it’s easy to control, a virtual assistant where they can manage the inventory even if they don’t know about databases. For this work, we propose to create a speech-to-text platform with machine learning so those users who have difficulties adapting to these new tools can use their voice to command the database and have first contact with these new technologies. Through a fine-tuning process to a pre-trained speech-to-text model in Spanish, we managed to obtain a percentage error result lower than the model used, this being 14.3%, this means that our model has a better accuracy in the context of a Peruvian convenience store.

Paper Citation

in Harvard Style

Tiglla-Arrascue B., Huerta-Pahuacho J. and Canaval L. (2024). Speech Recognition for Inventory Management in Small Businesses. In Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT; ISBN 978-989-758-710-8, SciTePress, pages 95-102. DOI: 10.5220/0012813600003764

in Bibtex Style

@conference{icsbt24,
author={Bruno Tiglla-Arrascue and Junior Huerta-Pahuacho and Luis Canaval},
title={Speech Recognition for Inventory Management in Small Businesses},
booktitle={Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT},
year={2024},
pages={95-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012813600003764},
isbn={978-989-758-710-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT
TI - Speech Recognition for Inventory Management in Small Businesses
SN - 978-989-758-710-8
AU - Tiglla-Arrascue B.
AU - Huerta-Pahuacho J.
AU - Canaval L.
PY - 2024
SP - 95
EP - 102
DO - 10.5220/0012813600003764
PB - SciTePress