Brief Report
Version 1
Preserved in Portico This version is not peer-reviewed
Precision Location Keyword Detection Using Offline Speech Recognition Technique
Version 1
: Received: 6 October 2023 / Approved: 11 October 2023 / Online: 11 October 2023 (06:53:39 CEST)
Version 2 : Received: 6 November 2023 / Approved: 6 November 2023 / Online: 7 November 2023 (02:34:57 CET)
Version 2 : Received: 6 November 2023 / Approved: 6 November 2023 / Online: 7 November 2023 (02:34:57 CET)
How to cite: Imam, M.; Gupta, G. Precision Location Keyword Detection Using Offline Speech Recognition Technique . Preprints 2023, 2023100690. https://doi.org/10.20944/preprints202310.0690.v1 Imam, M.; Gupta, G. Precision Location Keyword Detection Using Offline Speech Recognition Technique . Preprints 2023, 2023100690. https://doi.org/10.20944/preprints202310.0690.v1
Abstract
This study introduces an original comprehensive system centered on identifying specific terms that indicate a user's position, particularly the discrete values representing latitude and longitude. This system not only detects these terms but also retrieves the corresponding numerical data for accurate and efficient determination of locations. The importance of this endeavour encompasses various fields, notably aiding offline operations of military personnel, who often lack internet access. In such contexts, precise awareness of location is vital for strategic manoeuvres, rescue operations, and navigating unfamiliar landscapes. The system empowers these personnel by allowing them to extract exact location coordinates from spoken terms, thereby enhancing their awareness even in challenging surroundings. Apart from its military utility, the project holds broader significance. Teams responding to emergencies, personnel involved in disaster management, and exploratory missions can all gain from this technology during disruptions in communication infrastructure. Furthermore, travelers, adventurers, and outdoor enthusiasts can utilize this system to accurately determine their positions in remote areas without relying on online maps.
Keywords
Keyword Detection; Audio Models; Speech Processing
Subject
Computer Science and Mathematics, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment