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All Journal International Journal of Electrical and Computer Engineering Teknika Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer e-Jurnal Arus Elektro Indonesia Jurnal Keterapian Fisik EMITTER International Journal of Engineering Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Kebidanan JMM (Jurnal Masyarakat Mandiri) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Kreativitas PKM Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Abdi: Media Pengabdian Kepada Masyarakat Budimas : Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Jurnal Rekayasa elektrika Detector: Jurnal Inovasi Riset Ilmu Kesehatan Jurnal Ventilator: Jurnal Riset Ilmu Kesehatan dan Keperawatan Quantum Wellness : Jurnal Ilmu Kesehatan The Indonesian Journal of Computer Science Jurnal Terapi Wicara dan Bahasa Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Jurnal Kemitraan Masyarakat
Tri Budi Santoso
Politeknik Elektronika Negeri Surabaya
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Journal : International Journal of Electrical and Computer Engineering

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Indonesian speech emotion recognition: feature extraction and neural network approaches Afifah, Izza Nur; Santoso, Tri Budi; Dutono, Titon
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3769-3778

Abstract

This study explored the challenges of emotion recognition in Indonesian speech using deep learning techniques, addressing the complex nuances of emotional expression in spoken language that posed significant difficulties for automatic recognition systems. The research focused on the application of feature extraction methods and the implementation of convolutional neural networks (CNN) and a hybrid convolutional neural networks-long short-term memory (CNN-LSTM) model to identify emotional states from speech data. By analyzing key features of speech signals, including mel frequency cepstral coefficient (MFCC), zero crossing rate (ZCR), root mean square energy (RMSE), pitch, and spectral centroid, the study evaluated the models’ ability to capture both spatial and temporal patterns in the data. Testing was conducted using an Indonesian dataset comprising 200 samples. The CNN model, utilizing four features (MFCC, ZCR, RMSE, and pitch), and the CNN-LSTM model, which used three features (MFCC, ZCR, and RMSE), both achieved an emotion classification accuracy of approximately 88%. The result showed that the CNN-LSTM model achieved comparable performance with a simpler feature set compared to the CNN model. This highlighted the significance of choosing the appropriate techniques in feature extraction and classification to enhance the accuracy of identifying emotions from speech data while also managing computational complexity.
Co-Authors Achmad Basuki Achmad, Fariz Afifah, Izza Nur Agil Almas Agus Indra Gunawan Ahmad Baihaqi Adi Putro Ahmad Izzudin Aji, Rendra Suprobo Amang Sudarsono, Amang Andang Sudarmono Anggraeni, Martianda Erste Anggraini , Martianda Erste Anisa Rizki Julfatwiah Anteti Andinafar Ari Wijayanti Ari Wijayanti Aries Pratiarso Ashafidz Fauzan Dianta, Ashafidz Fauzan Ashafidz Fauzan, Ashafidz Budi Aswoyo, Budi Cahyanto, Erindra Budi Cemy Nur Fitria Darmawan, Zakha Maisat Eka Dewi, Florista Dinda Ayu Oktaviasari Dwi Handoyo Dwi Susanto Endang Widjiati Faradisa, Rosiyah Faridatun Nadziroh Fathoni, Kholid Fatoni Hutagalung Fitriana, Azizah Nur Fitriana, Fia Florista Dewi Gamantyo Hendrantoro Hari Wahjuningrat Suparno Harumi, Linda Hary Octavianto I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa, I Gede Ika Subekti Wulandari, Ika Subekti Izza Nur Afifah Kanthi Suratih Karimatun Nisa Karimatun Nisa’ Kristyawati, Dian Kurniajaya, Moga M. Hafiduddin Machmud Roby Alhamidi, Machmud Roby Mardawia M Panrereng Megasari, Anis Laela Miftachul Huda Miftahul Huda Mike Yuliana Moga Kurniajaya Moh. Zikky, Moh. Mohamad Ridwan Mohamad Ridwan Mr. Arifin Muhammad Edy Hidayat Muhammad Hafiduddin Muhammad Kholid Saifulloh Mujahidatul Musfiroh Nadziroh, Faridatun Nailul Muna NIHAYATUS SAADAH Nur Adi Siswandari Okkie Puspitorini Okkie Puspitorini, Okkie Paramita Eka Wahyu Lestari Prihantono, Prihantono Prima Kristalina Rahmaningrum, Ainulia Salsabila Raihan, Dafa Ramadhani, Aura Kamilla Rante, Hestiasari Rena Widyaningtyas Reni Soelistijorini Rini Satiti Sa'adah, Nihayatus Salwadilla, Ika Shafira Sendi Eka Nilasari, Sendi Eka Setyani, Rizka Ayu Soelistijorini, Reni Sri Mulyani Sultan Syahputra Yulianto Supriyatno, Abigael Thea Rahmany Susilowati, Amanda Bintang Thariqo Falsafah Titon Dutono Tri Winarno Umi Fitria P Wahyu, Gilang Arya Widi Sarinastiti Wirawan Wirawan Yoedy Moegiharto Yudha, Kurniawan Try Zainuddin, Muhammad Agus Zikky, Moh