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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Bibliographic Details
Main Authors: Sushan Poudel, Dr. R Anuradha
Format: Article
Language:English
Published: Politeknik Negeri Padang 2020-05-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
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.
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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