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Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction
Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a coun...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004466/ https://www.ncbi.nlm.nih.gov/pubmed/35422739 http://dx.doi.org/10.3389/fpsyg.2022.850092 |
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author | Chen, Huizhong Chen, Shu Zhao, Jingfeng |
author_facet | Chen, Huizhong Chen, Shu Zhao, Jingfeng |
author_sort | Chen, Huizhong |
collection | PubMed |
description | Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. Therefore, this paper designs the integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit (CPU) occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. |
format | Online Article Text |
id | pubmed-9004466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90044662022-04-13 Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction Chen, Huizhong Chen, Shu Zhao, Jingfeng Front Psychol Psychology Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. Therefore, this paper designs the integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit (CPU) occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. Frontiers Media S.A. 2022-03-29 /pmc/articles/PMC9004466/ /pubmed/35422739 http://dx.doi.org/10.3389/fpsyg.2022.850092 Text en Copyright © 2022 Chen, Chen and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Chen, Huizhong Chen, Shu Zhao, Jingfeng Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title | Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title_full | Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title_fullStr | Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title_full_unstemmed | Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title_short | Integrated Design of Financial Self-Service Terminal Based on Artificial Intelligence Voice Interaction |
title_sort | integrated design of financial self-service terminal based on artificial intelligence voice interaction |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004466/ https://www.ncbi.nlm.nih.gov/pubmed/35422739 http://dx.doi.org/10.3389/fpsyg.2022.850092 |
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