@inproceedings{2fa8383292774384bb63aa2c52e87267,
title = "Development of Indonesian Speech Recognition with Deep Neural Network for Robotic Command",
abstract = "Research on speech recognition for several languages has been shown significant improvement for seamless interaction between human and robot. In this study, a system to command assistant robot with Indonesian speech recognition using deep neural network (DNN) has been proposed. The DNN architecture created by convolutional neural networks (CNNs), max pooling, and fully connected layers. The experiments performed on a self-constructed dataset with training, validation, and testing data in 0.8:0.1:0.1 ratio. This network built using Keras (TensorFlow Backend) and the result shows 99.43% accuracy on testing data and 89.57% on actual condition.",
keywords = "Indonesian language, deep neural network, speech recognition",
author = "Citta Anindya and Djoko Purwanto and Ricoida, {Desy Iba}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 ; Conference date: 28-08-2019 Through 29-08-2019",
year = "2019",
month = aug,
doi = "10.1109/ISITIA.2019.8937275",
language = "English",
series = "Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "434--438",
booktitle = "Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019",
address = "United States",
}