Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection

There is often noise in spoken machine English, which affects the accuracy of pronunciation. Therefore, how to accurately detect the noise in machine English spoken language and give standard spoken pronunciation is very important and meaningful. The traditional machine-oriented spoken English speec...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Yaning Zhu
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
Materias:
Acceso en línea:https://doaj.org/article/6e5af2a66a744f9b94421c291ba32436
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:6e5af2a66a744f9b94421c291ba32436
record_format dspace
spelling oai:doaj.org-article:6e5af2a66a744f9b94421c291ba324362021-11-22T01:10:42ZDevelopment of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection1687-726810.1155/2021/1680866https://doaj.org/article/6e5af2a66a744f9b94421c291ba324362021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1680866https://doaj.org/toc/1687-7268There is often noise in spoken machine English, which affects the accuracy of pronunciation. Therefore, how to accurately detect the noise in machine English spoken language and give standard spoken pronunciation is very important and meaningful. The traditional machine-oriented spoken English speech noise detection technology is limited to the improvement of software algorithm, mainly including speech enhancement technology and speech endpoint detection technology. Based on this, this paper will develop a wireless sensor network based on machine English oral pronunciation noise based on air and nonair conduction, reasonably design and configure air sensors, and nonair conduction sensors to deal with machine English oral pronunciation noise, so as to improve the naturalness and intelligibility of machine English speech. At the hardware level, this paper mainly optimizes the AD sampling, sensor matching layout, and internal hardware circuit board layout of the two types of sensors, so as to solve the compatibility problem between them and further reduce the hardware power consumption. In order to further verify or evaluate the performance of the machine spoken English speech noise detection sensor designed in this paper, a machine spoken English training system based on Android platform is designed. Compared with the traditional system, the training system can improve the intelligence of machine oriented oral English noise detection algorithm, so as to continuously improve the accuracy of system detection. The machine English pronunciation is adjusted and corrected by combining the data sensed by the sensor, so as to form a closed-loop design. The experimental results show that the wireless sensor sample proposed in this paper has obvious advantages in detecting the accuracy of machine English oral pronunciation, and its good closed-loop system is helpful to further improve the accuracy of machine English oral pronunciation.Yaning ZhuHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Yaning Zhu
Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
description There is often noise in spoken machine English, which affects the accuracy of pronunciation. Therefore, how to accurately detect the noise in machine English spoken language and give standard spoken pronunciation is very important and meaningful. The traditional machine-oriented spoken English speech noise detection technology is limited to the improvement of software algorithm, mainly including speech enhancement technology and speech endpoint detection technology. Based on this, this paper will develop a wireless sensor network based on machine English oral pronunciation noise based on air and nonair conduction, reasonably design and configure air sensors, and nonair conduction sensors to deal with machine English oral pronunciation noise, so as to improve the naturalness and intelligibility of machine English speech. At the hardware level, this paper mainly optimizes the AD sampling, sensor matching layout, and internal hardware circuit board layout of the two types of sensors, so as to solve the compatibility problem between them and further reduce the hardware power consumption. In order to further verify or evaluate the performance of the machine spoken English speech noise detection sensor designed in this paper, a machine spoken English training system based on Android platform is designed. Compared with the traditional system, the training system can improve the intelligence of machine oriented oral English noise detection algorithm, so as to continuously improve the accuracy of system detection. The machine English pronunciation is adjusted and corrected by combining the data sensed by the sensor, so as to form a closed-loop design. The experimental results show that the wireless sensor sample proposed in this paper has obvious advantages in detecting the accuracy of machine English oral pronunciation, and its good closed-loop system is helpful to further improve the accuracy of machine English oral pronunciation.
format article
author Yaning Zhu
author_facet Yaning Zhu
author_sort Yaning Zhu
title Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
title_short Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
title_full Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
title_fullStr Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
title_full_unstemmed Development of Wireless Sensor Device for Machine English Oral Pronunciation Noise Detection
title_sort development of wireless sensor device for machine english oral pronunciation noise detection
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/6e5af2a66a744f9b94421c291ba32436
work_keys_str_mv AT yaningzhu developmentofwirelesssensordeviceformachineenglishoralpronunciationnoisedetection
_version_ 1718418344022900736