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Speech signal processing based on machine learning and complex processors for baby cry detection system

Nowadays, a lot of parents has hired a maid to help them to take care of their babies because of the difficulty to take care of newborn babies. Moreover, Parents need to do housework as well as taking careof their newborn babies. However, many maidshave been reported to have some adverse effect on t...

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Main Authors: Al-Mashhadani, Abdul Razak F. Shahatha, Tee, Fu Keat, Kolandaisamy, Raenu, Nandy, Tarak
Format: Article
Language:English
Published: ASR Research India 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/104184/1/RaenuKolandaisamyAbdulrazakFShahathaAlMashhadaniTarakNandy2022_SpeechSignalProcessingBasedonMachine.pdf
http://eprints.utm.my/104184/
https://journalppw.com/index.php/jpsp/article/view/1798/1015
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spelling my.utm.1041842024-01-17T01:49:04Z http://eprints.utm.my/104184/ Speech signal processing based on machine learning and complex processors for baby cry detection system Al-Mashhadani, Abdul Razak F. Shahatha Tee, Fu Keat Kolandaisamy, Raenu Nandy, Tarak T Technology (General) Nowadays, a lot of parents has hired a maid to help them to take care of their babies because of the difficulty to take care of newborn babies. Moreover, Parents need to do housework as well as taking careof their newborn babies. However, many maidshave been reported to have some adverse effect on these babies as they grow up. Furthermore, some maids may even expose these babies to too many unexpected risks that would place them at risk. In this research,a baby crying detection system is developed using a Raspberry Pi and Wireless Sensor Network (WSN). Several equipment and controls such as sound sensors, video sensors were integrated and used for baby room surveillance. The Speaking is a communication medium, and speech can be characterized by signals and signals that contain significant information and the information is in sound waveforms. Voice signal is an application of voice signal processing technology. For applications that are in digital form, they rely more on digitally processed speech signals, implement complex technologies, and The framework was programmed using programming language Python 3.6 and Java 8.0, which was used for real-time data transmission and application signaling. Finally, the system will send the data to a remote smartphone. Moreover, the work is integrated with machine learning and IP address to boost the detection mechanism. ASR Research India 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/104184/1/RaenuKolandaisamyAbdulrazakFShahathaAlMashhadaniTarakNandy2022_SpeechSignalProcessingBasedonMachine.pdf Al-Mashhadani, Abdul Razak F. Shahatha and Tee, Fu Keat and Kolandaisamy, Raenu and Nandy, Tarak (2022) Speech signal processing based on machine learning and complex processors for baby cry detection system. Journal of Positive School Psychology, 6 (2). pp. 2193-2207. ISSN ISSN 2717-7564 https://journalppw.com/index.php/jpsp/article/view/1798/1015 NA
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Al-Mashhadani, Abdul Razak F. Shahatha
Tee, Fu Keat
Kolandaisamy, Raenu
Nandy, Tarak
Speech signal processing based on machine learning and complex processors for baby cry detection system
description Nowadays, a lot of parents has hired a maid to help them to take care of their babies because of the difficulty to take care of newborn babies. Moreover, Parents need to do housework as well as taking careof their newborn babies. However, many maidshave been reported to have some adverse effect on these babies as they grow up. Furthermore, some maids may even expose these babies to too many unexpected risks that would place them at risk. In this research,a baby crying detection system is developed using a Raspberry Pi and Wireless Sensor Network (WSN). Several equipment and controls such as sound sensors, video sensors were integrated and used for baby room surveillance. The Speaking is a communication medium, and speech can be characterized by signals and signals that contain significant information and the information is in sound waveforms. Voice signal is an application of voice signal processing technology. For applications that are in digital form, they rely more on digitally processed speech signals, implement complex technologies, and The framework was programmed using programming language Python 3.6 and Java 8.0, which was used for real-time data transmission and application signaling. Finally, the system will send the data to a remote smartphone. Moreover, the work is integrated with machine learning and IP address to boost the detection mechanism.
format Article
author Al-Mashhadani, Abdul Razak F. Shahatha
Tee, Fu Keat
Kolandaisamy, Raenu
Nandy, Tarak
author_facet Al-Mashhadani, Abdul Razak F. Shahatha
Tee, Fu Keat
Kolandaisamy, Raenu
Nandy, Tarak
author_sort Al-Mashhadani, Abdul Razak F. Shahatha
title Speech signal processing based on machine learning and complex processors for baby cry detection system
title_short Speech signal processing based on machine learning and complex processors for baby cry detection system
title_full Speech signal processing based on machine learning and complex processors for baby cry detection system
title_fullStr Speech signal processing based on machine learning and complex processors for baby cry detection system
title_full_unstemmed Speech signal processing based on machine learning and complex processors for baby cry detection system
title_sort speech signal processing based on machine learning and complex processors for baby cry detection system
publisher ASR Research India
publishDate 2022
url http://eprints.utm.my/104184/1/RaenuKolandaisamyAbdulrazakFShahathaAlMashhadaniTarakNandy2022_SpeechSignalProcessingBasedonMachine.pdf
http://eprints.utm.my/104184/
https://journalppw.com/index.php/jpsp/article/view/1798/1015
_version_ 1789424391048658944
score 13.211869

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