Development of a voice recognition clocking-in system within the business environment using an Alexa skill
| dc.contributor | Planes Cid, Jordi | |
| dc.contributor | Galan Vilella, Daniel | |
| dc.contributor | Universitat de Lleida. Escola Politècnica Superior | |
| dc.contributor.author | Girabet Sala , Sergi | |
| dc.date.accessioned | 2023-07-04T07:38:56Z | |
| dc.date.available | 2023-07-04T07:38:56Z | |
| dc.date.issued | 2023-06 | |
| dc.description.abstract | This document presents a comprehensive exploration of the integration of a voice clocking-in-in system into SEMIC Group’s business operations, focusing on the development of an Alexa skill capable of recognizing and distinguishing the voice of the workers to facilitate clocking-in. The introduction provides the context and motivation behind the study, along with the objectives to be achieved. The SEMIC Group and its registration system is introduced. The document delves into the business case for implementing a voice clocking-in-in system, analyzing existing clocking-in-in systems and highlighting the potential benefits for SEMIC Group. Voice assistants and their history are examined, emphasizing the fundamental technologies such as artificial intelligence, machine learning, and natural language processing. The impact of voice technology in the market is explored, considering worldwide usage of voice assistants and the implications for consumers and the overall market. The entry of new AI technologies and barriers to voice technology adoption are also discussed. Specifically, the document focuses on the Alexa voice assistant, its functioning, and the Alexa Skill Kit, including voice interaction models and skill development workflows. The integration of the clocking-in API with the Alexa skill is explained, along with the prototype development process and tools used. The cost of implementing the clocking-in-in system is analyzed, taking into account hardware and software costs as well as human costs. Finally, the document concludes with key findings and future perspectives for the integration of voice technology into SEMIC Group's operations. Overall, this document provides a comprehensive analysis of the integration of a voice clocking-in-in system into SEMIC Group, offering insights into the potential benefits, implementation process, and cost considerations. | |
| dc.format.extent | 112 p. | |
| dc.identifier.uri | https://repositori.udl.cat/handle/10459.1/463624 | |
| dc.language.iso | eng | |
| dc.rights | cc-by-nc-nd | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Voice Assistant | |
| dc.subject | SEMIC | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Natural Language Processing | |
| dc.subject | Alexa | |
| dc.subject.other | Intel·ligència artificial | |
| dc.title | Development of a voice recognition clocking-in system within the business environment using an Alexa skill | |
| dc.type | info:eu-repo/semantics/bachelorThesis |