MATEC Web Conf.
Volume 343, 202110th International Conference on Manufacturing Science and Education – MSE 2021
|Number of page(s)||10|
|Section||Computer-Aided Technologies (CAD/CAM/CAE - CAX), Virtual Engineering and Reverse Engineering|
|Published online||04 August 2021|
A speech recognition approach for an industrial training station
Lucian Blaga University of Sibiu, 10 Victoriei Boulevard, Sibiu, Romania
* Corresponding author: firstname.lastname@example.org
This paper presents a speech recognition service used in the context of commanding and guiding the activities around an industrial training station. The entire concept is built on a decentralized microservice architecture and one of the many hardware and software components is the speech recognition engine. This engine grants users the possibility to interact seamlessly with other components in order to ensure a gradual and productive learning process. By working with different API’s for both English and Romanian languages, the presented approach manages to obtain good speech recognition for defining task phrases aiding the training procedure and to reduce the recognition required time by almost 50%.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.