Implementation of artificial neural network to recognize numbers from voice
Speech recognition is a subjective phenomenon which also an important part of human–machine interaction which still faces a lot of problem. The purpose of this work is to investigate and apply the artificial neural network (ANN) to recognise numbers using voice. In this work, MATLAB neural network t...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42327/ http://umpir.ump.edu.my/id/eprint/42327/1/Implementation%20of%20artificial%20neural%20network.pdf http://umpir.ump.edu.my/id/eprint/42327/2/Implementation%20of%20artificial%20neural%20network%20to%20recognize%20numbers%20from%20voice_ABS.pdf |
| _version_ | 1848826581685895168 |
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| author | Fatin Nur Amalina, Zainol Mohd Zamri, Ibrahim |
| author_facet | Fatin Nur Amalina, Zainol Mohd Zamri, Ibrahim |
| author_sort | Fatin Nur Amalina, Zainol |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Speech recognition is a subjective phenomenon which also an important part of human–machine interaction which still faces a lot of problem. The purpose of this work is to investigate and apply the artificial neural network (ANN) to recognise numbers using voice. In this work, MATLAB neural network toolbox is used to create, train and simulate the ANN. The dataset consisted a voice from ‘one’ to ‘five’ undergo windowing process to view a short time segment of a longer signal and analyse its frequency content and then being filtered by using a band-pass filter to remove the unwanted noise and been converted into histograms as an input for the network. From the experiments, the highest accuracy level obtained is 72.5% by using histograms as Feature Extraction. |
| first_indexed | 2025-11-15T03:47:06Z |
| format | Conference or Workshop Item |
| id | ump-42327 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:47:06Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-423272024-10-30T04:30:32Z http://umpir.ump.edu.my/id/eprint/42327/ Implementation of artificial neural network to recognize numbers from voice Fatin Nur Amalina, Zainol Mohd Zamri, Ibrahim T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Speech recognition is a subjective phenomenon which also an important part of human–machine interaction which still faces a lot of problem. The purpose of this work is to investigate and apply the artificial neural network (ANN) to recognise numbers using voice. In this work, MATLAB neural network toolbox is used to create, train and simulate the ANN. The dataset consisted a voice from ‘one’ to ‘five’ undergo windowing process to view a short time segment of a longer signal and analyse its frequency content and then being filtered by using a band-pass filter to remove the unwanted noise and been converted into histograms as an input for the network. From the experiments, the highest accuracy level obtained is 72.5% by using histograms as Feature Extraction. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42327/1/Implementation%20of%20artificial%20neural%20network.pdf pdf en http://umpir.ump.edu.my/id/eprint/42327/2/Implementation%20of%20artificial%20neural%20network%20to%20recognize%20numbers%20from%20voice_ABS.pdf Fatin Nur Amalina, Zainol and Mohd Zamri, Ibrahim (2022) Implementation of artificial neural network to recognize numbers from voice. In: Lecture Notes in Electrical Engineering. 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan. pp. 895-904., 842. ISSN 1876-1100 ISBN 978-981168689-4 (Published) https://doi.org/10.1007/978-981-16-8690-0_78 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Fatin Nur Amalina, Zainol Mohd Zamri, Ibrahim Implementation of artificial neural network to recognize numbers from voice |
| title | Implementation of artificial neural network to recognize numbers from voice |
| title_full | Implementation of artificial neural network to recognize numbers from voice |
| title_fullStr | Implementation of artificial neural network to recognize numbers from voice |
| title_full_unstemmed | Implementation of artificial neural network to recognize numbers from voice |
| title_short | Implementation of artificial neural network to recognize numbers from voice |
| title_sort | implementation of artificial neural network to recognize numbers from voice |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42327/ http://umpir.ump.edu.my/id/eprint/42327/ http://umpir.ump.edu.my/id/eprint/42327/1/Implementation%20of%20artificial%20neural%20network.pdf http://umpir.ump.edu.my/id/eprint/42327/2/Implementation%20of%20artificial%20neural%20network%20to%20recognize%20numbers%20from%20voice_ABS.pdf |