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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Politeknik Negeri Padang
2020-05-01
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Series: | JOIV: International Journal on Informatics Visualization |
Subjects: | |
Online Access: | http://joiv.org/index.php/joiv/article/view/358 |
Summary: | 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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ISSN: | 2549-9610 2549-9904 |