VIRTUAL ASSISTANT DEVELOPMENT USING SPEECH RECOGNITION WITH DEEP NEURAL NETWORK ALGORITHM

AJI, BAYU CANDRA SENO (2022) VIRTUAL ASSISTANT DEVELOPMENT USING SPEECH RECOGNITION WITH DEEP NEURAL NETWORK ALGORITHM. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Speech recognition is artificial intelligence in the form of a virtual assistant that can be used by giving commands to a computer in the form of sound. In this case, I tried to develop my own speech recognition system using neural network algorithms. First, to develop speech recognition, the step that needs to be considered is to choose the appropriate dataset. The dataset used is a sound sample in the form of audio used as input. To implement speech recognition also requires algorithms to process datasets and tested with different parameters so that the accuracy of the algorithms used can produce maximum results. The result of this project is to determine how accurate the system is in processing datasets in the form of sound samples, as well as comparing algorithms between Deep Neural Network with Convolutional Neural Network.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	mr AM. Pudja Adjie Sudoso
Date Deposited:	23 Mar 2022 04:02
Last Modified:	23 Mar 2022 04:02
URI:	http://repository.unika.ac.id/id/eprint/28271

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