Speech Command Recognition using Artificial Neural Networks
Speech is one of the most effective way for human and machine to interact. This project aims to build Speech Command Recognition System that is capable of predicting the predefined speech commands. Dataset provided by Google’s TensorFlow and AIY teams is used to implement different Neural Network mo...
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Format: | Article |
Language: | English |
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Politeknik Negeri Padang
2020-05-01
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Series: | JOIV: International Journal on Informatics Visualization |
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Online Access: | http://joiv.org/index.php/joiv/article/view/358 |
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author | Sushan Poudel Dr. R Anuradha |
author_facet | Sushan Poudel Dr. R Anuradha |
author_sort | Sushan Poudel |
collection | DOAJ |
description | Speech is one of the most effective way for human and machine to interact. This project aims to build Speech Command Recognition System that is capable of predicting the predefined speech commands. Dataset provided by Google’s TensorFlow and AIY teams is used to implement different Neural Network models which include Convolutional Neural Network and Recurrent Neural Network combined with Convolutional Neural Network. The combination of Convolutional and Recurrent Neural Network outperforms Convolutional Neural Network alone by 8% and achieved 96.66% accuracy for 20 labels. |
first_indexed | 2024-12-10T21:53:36Z |
format | Article |
id | doaj.art-2e87977b9f4a4bcda470f0971de02685 |
institution | Directory Open Access Journal |
issn | 2549-9610 2549-9904 |
language | English |
last_indexed | 2024-12-10T21:53:36Z |
publishDate | 2020-05-01 |
publisher | Politeknik Negeri Padang |
record_format | Article |
series | JOIV: International Journal on Informatics Visualization |
spelling | doaj.art-2e87977b9f4a4bcda470f0971de026852022-12-22T01:32:06ZengPoliteknik Negeri PadangJOIV: International Journal on Informatics Visualization2549-96102549-99042020-05-0142737510.30630/joiv.4.2.358197Speech Command Recognition using Artificial Neural NetworksSushan Poudel0Dr. R Anuradha1Sri Ramakrishna Engineering College, Coimbatore, IndiaSri Ramakrishna Engineering College, Coimbatore, IndiaSpeech is one of the most effective way for human and machine to interact. This project aims to build Speech Command Recognition System that is capable of predicting the predefined speech commands. Dataset provided by Google’s TensorFlow and AIY teams is used to implement different Neural Network models which include Convolutional Neural Network and Recurrent Neural Network combined with Convolutional Neural Network. The combination of Convolutional and Recurrent Neural Network outperforms Convolutional Neural Network alone by 8% and achieved 96.66% accuracy for 20 labels.http://joiv.org/index.php/joiv/article/view/358speech command recognitionrecurrent neural network (rnn)convolutional neural network (cnn) |
spellingShingle | Sushan Poudel Dr. R Anuradha Speech Command Recognition using Artificial Neural Networks JOIV: International Journal on Informatics Visualization speech command recognition recurrent neural network (rnn) convolutional neural network (cnn) |
title | Speech Command Recognition using Artificial Neural Networks |
title_full | Speech Command Recognition using Artificial Neural Networks |
title_fullStr | Speech Command Recognition using Artificial Neural Networks |
title_full_unstemmed | Speech Command Recognition using Artificial Neural Networks |
title_short | Speech Command Recognition using Artificial Neural Networks |
title_sort | speech command recognition using artificial neural networks |
topic | speech command recognition recurrent neural network (rnn) convolutional neural network (cnn) |
url | http://joiv.org/index.php/joiv/article/view/358 |
work_keys_str_mv | AT sushanpoudel speechcommandrecognitionusingartificialneuralnetworks AT drranuradha speechcommandrecognitionusingartificialneuralnetworks |