Bird sound identification based on artificial neural network

Due to effect of climate changes and count of endangered animal, many researchers proposed animal species recognition system to help them for specific study. This paper proposes to identify bird sound identification using Artificial Neural Network (ANN). Each bird has a different tone of sounds. ANN...

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Main Authors: Mohd Sukri, Muhammad Mujjajdid, Fadlilah, Umi, Saon, Sharifah, Mahamad, Abd Kadir, Md Som, Mohamad, Sidek, Azmi
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/6211/1/P12434_1409cd83f35b38e2e6379c42bbba4dcb.pdf
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author Mohd Sukri, Muhammad Mujjajdid
Fadlilah, Umi
Saon, Sharifah
Mahamad, Abd Kadir
Md Som, Mohamad
Sidek, Azmi
author_facet Mohd Sukri, Muhammad Mujjajdid
Fadlilah, Umi
Saon, Sharifah
Mahamad, Abd Kadir
Md Som, Mohamad
Sidek, Azmi
author_sort Mohd Sukri, Muhammad Mujjajdid
collection UTHM
description Due to effect of climate changes and count of endangered animal, many researchers proposed animal species recognition system to help them for specific study. This paper proposes to identify bird sound identification using Artificial Neural Network (ANN). Each bird has a different tone of sounds. ANN is applied to classify and recognise the bird sounds using Matlab software. Firstly, all required data in term of power spectral density of bird is used in order to obtain data for each bird types. The next process is to train ANN to identify species of birds. Only one bird can identify in one time. Lastly, the graphical user interface (GUI) of bird sound identification have been developed that required the user to fed audio input of bird sound in order to recognise bird species. This project is done successfully and can be used to identify bird species.
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spelling uthm.eprints-62112022-01-31T06:50:39Z http://eprints.uthm.edu.my/6211/ Bird sound identification based on artificial neural network Mohd Sukri, Muhammad Mujjajdid Fadlilah, Umi Saon, Sharifah Mahamad, Abd Kadir Md Som, Mohamad Sidek, Azmi TK7800-8360 Electronics Due to effect of climate changes and count of endangered animal, many researchers proposed animal species recognition system to help them for specific study. This paper proposes to identify bird sound identification using Artificial Neural Network (ANN). Each bird has a different tone of sounds. ANN is applied to classify and recognise the bird sounds using Matlab software. Firstly, all required data in term of power spectral density of bird is used in order to obtain data for each bird types. The next process is to train ANN to identify species of birds. Only one bird can identify in one time. Lastly, the graphical user interface (GUI) of bird sound identification have been developed that required the user to fed audio input of bird sound in order to recognise bird species. This project is done successfully and can be used to identify bird species. 2020 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/6211/1/P12434_1409cd83f35b38e2e6379c42bbba4dcb.pdf Mohd Sukri, Muhammad Mujjajdid and Fadlilah, Umi and Saon, Sharifah and Mahamad, Abd Kadir and Md Som, Mohamad and Sidek, Azmi (2020) Bird sound identification based on artificial neural network. In: 2020 IEEE Student Conference on Research and Development (SCOReD), 27-28 September 2020, Johor, Malaysia.
spellingShingle TK7800-8360 Electronics
Mohd Sukri, Muhammad Mujjajdid
Fadlilah, Umi
Saon, Sharifah
Mahamad, Abd Kadir
Md Som, Mohamad
Sidek, Azmi
Bird sound identification based on artificial neural network
title Bird sound identification based on artificial neural network
title_full Bird sound identification based on artificial neural network
title_fullStr Bird sound identification based on artificial neural network
title_full_unstemmed Bird sound identification based on artificial neural network
title_short Bird sound identification based on artificial neural network
title_sort bird sound identification based on artificial neural network
topic TK7800-8360 Electronics
url http://eprints.uthm.edu.my/6211/1/P12434_1409cd83f35b38e2e6379c42bbba4dcb.pdf
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