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All Journal Infotech Journal JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Informatika Universitas Pamulang MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer BERNAS: Jurnal Pengabdian Kepada Masyarakat Tematik : Jurnal Teknologi Informasi Komunikasi DECODE: Jurnal Pendidikan Teknologi Informasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT
Ardi Mardiana
Universitas Majalengka
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : Jurnal Informatika Universitas Pamulang

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Mapping The Landscape of Speech Processing Research: : Trends, Insights, and Emerging Directions Mardiana, Ardi; Bastian, Ade; Rifki, Muhamamad; Tresna Irawan, Eka
Jurnal Informatika Universitas Pamulang Vol 10 No 1 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

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Abstract

Speech processing has become a significant study domain within signal processing, artificial intelligence, and human-computer interaction. This work does a bibliometric analysis to ascertain research trends, notable problems, and prospective directions in voice processing. We assess significant research outputs, including publication growth, influential authors, renowned journals, and collaboration networks during the last two decades, using data sourced from credible scientific sources such as Scopus and Web of Science. The results underscore notable progress in automated voice recognition, speaker identification, and speech synthesis, while simultaneously confronting ongoing issues associated with multilingual datasets, noise resilience, and resource efficiency. Moreover, new technologies, such deep learning and neural architecture search, are recognized as catalysts for future developments. This bibliometric study seeks to provide scholars and practitioners with a thorough overview of the existing environment and strategic insights for the advancement of the voice processing domain.
Co-Authors Aas Nuraisah Abrar, Abrar Wahid Aceng Jarkasih Ade Bastian Aji Permana Ayu Sunengsih Citra Pebrianti Fitria Dadan Zaliluddin Dede Abdurahman Dede Didin Dede Maulana Deffy Susanti Dinda Sri Wulansari Dony Susandi Enang Rusnandi Endah Prihartini Fahmi Aziz, Muhamamad Fitriyani, Rofi Gary Gibran Amnesty Geraldy Fatullah Hafsari, Zacky Harun Sujadi Intan Kusumadewi Iqbal Assegaf, Muhammad Jamhari Jamhari Mega Berliani Mochammad Bagasnanda Firmansyah Muhammad Dziya Dhiyauddin Muhammad Iqbal Assegaf Nunu Nurdiana Nunu Nurdiana, Nunu Pangestu, Arki Aji Priyadi, Deni Puput Putriani Rifki, Muhamamad Risa Risnawati Safari Yonasi Sandi Fajar Rodiyansyah Sandi Fajar Rodiyansyah Tarsono, Ano Tresna Irawan, Eka Tri Ferga Prasetyo Wahid, Abrar Wahono, Syiffa Safiera