IMPLEMENTATION  OF ARTIFICIAL NEURAL NETWORKS FOR SOUND PROCESSING ON SONG REQUEST

Authors

  • Silvia Ningsih Ahmad Dahlan Institute of Technology and Business, Indonesia Author

Keywords:

Speech Signal Processing, Neural Network Training, Backpropagation Neural Network, Audio Pattern Recognition.

Abstract

The development of multimedia systems has led to the increasing use of digital data, creating difficulties in searching for abundant data. This has encouraged the creation of facilities that can serve humans in communicating with computers or digital objects like human to human. One of the facilities attempted in this research is a voice processing application for remote access to computers used to call up music files using speech. This way, large numbers of music files do not become an obstacle in searching for the files and can speed up file retrieval. This application makes it easier to search for music files using everyday human language. Human speech input is converted into commands that open music files

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References

Ngwenyama, M. K., & Gitau, M. N. (2024). Application of back propagation neural network in complex diagnostics and forecasting loss of life of cellulose paper insulation in oil-immersed transformers. Scientific Reports, 14, Article 6080. https://doi.org/10.1038/s41598-024-56598-x

Syahputra, R. A., Kasmawati, K., & Sentia, P. D. (2025). The application of artificial neural network (ANN) with Backpropagation algorithm to predict supply chain demand. Journal of Optimization in Industrial Engineering, 18(1), 305–313. https://doi.org/10.71720/JOIE.2025.1127133

Sahi, M. (2025). Artificial Intelligence Application of Back-propagation Neural Network for cryptocurrency price prediction. International Journal of Electrical and Information Engineering (accepted/published 2025).

Stock Price Prediction Using Backpropagation ANN (2025). Applied ANN model for stock price forecasting using backpropagation. Journal of Applied Science & Innovation Research (Dec 2025).

Irvanizam, I., Horatius, I., & Sofyan, H. (2023). Applying Artificial Neural Network based on Backpropagation method for Indonesian Sign Language recognition. International Journal of Computing and Digital Systems, 14(1), 975–985.

Mouloodi, S. (2022). Feedforward backpropagation artificial neural networks for engineering prediction tasks. Engineering Applications of Artificial Intelligence, 107.

Application of Artificial Neural Network (ANN) with Backpropagation for Predicting Supply Chain Demand (2025). Journal of Optimization in Industrial Engineering, 18(1). (referensi tambahan terkait tren supply chain forecast)

Application of Backpropagation Neural Network to Gold Price Forecasting (2024). Comparative study of activation functions in backpropagation ANN models (unpublished thesis / technical report). (kutipan penelitian terindikasi)

Application of Backpropagation ANN to Engineering Structural Prediction (2022). Experimental records of load & displacement predictions using ANN-BP. International Journal of Structural Engineering (doi available). (diterbitkan 2022)

Artificial Neural Network Backpropagation models (2023–2025). Studies applying ANN-BP to various prediction domains (weather, economics, supply chain). Selected conference proceedings & journals

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Published

2026-01-26

Issue

Section

Articles

How to Cite

Silvia Ningsih. (2026). IMPLEMENTATION  OF ARTIFICIAL NEURAL NETWORKS FOR SOUND PROCESSING ON SONG REQUEST. Interdisciplinary Journal of Global and Multidisciplinary, 2(1), 1066-1072. https://jurnal-ijgam.or.id/index.php/IJGAM/article/view/213

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