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All Journal Biomedical Journal of Indonesia Jurnal Teknik Komputer AMIK BSI Paradigma EVOLUSI : Jurnal Sains dan Manajemen Scientia Psychiatrica Open Access Indonesia Journal of Social Sciences Journal of Computer Networks, Architecture and High Performance Computing juremi: jurnal riset ekonomi International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Inspiration: Jurnal Teknologi Informasi dan Komunikasi Gudang Jurnal Multidisiplin Ilmu Sriwijaya Journal of Otorhinolaryngology Jurnal Media Akademik (JMA) Abdi Reksa WISDOM : Jurnal Pengabdian Kepada Masyarakat Wisdom Mahkamah: Jurnal Riset Ilmu Hukum Jurnal Riset Multidisiplin Edukasi Albayan : Journal of Islam and Muslim Societies Lentera: Journal of Islamic Studies
Rachmat Hidayat
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Religion Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Journal : Paradigma

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SISTEM CERDAS UNTUK MEMPREDIKSI CHORDS GITAR DARI LAGU MP3 DENGAN METODE MEL-FREQUENCY CEPSTRAL COEFFICIENTS Rachmat Hidayat
Paradigma Vol 12, No 1 (2010): Vol. 12 Nomor 1, Maret 2010
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.556 KB) | DOI: 10.31294/p.v12i1.3472

Abstract

This study aims to identify and find the key tone of the song using extraksi cord mp3. An application that serves to extract the key songs on the guitar tune, so that will generate the key (Cord) tone that represents the humming. Technique Mel Frequency Cepstral Coefficients (MFCC), is the method used to extract features from music signals and comparing suaru with unknown speakers with the existing speakers in the database. This application input data undergo several processes, before finally producing the key (Cord) tone. These processes include identifying the sound of the song. Voice recognition is useful for biometric authentication and communication between the computer system. Keywords: mel-frequency cepstral coefficients, vector quantization, K-means, tone, onset, humming.
Co-Authors Ahmad Maulidizen Ali Alatas Andronias Siregar Arief Satriansyah Arsan Saliha Aryo Dwiarief Susetyo Chairil Anwar Dedek Zulvira Diah Ajeng Kusuma Wardani Hamzah Dina Hermina Eddy Mart Salim Ellya Verawati Endiyani Erza Sofian Firdaus Muhammad Fransisca Srioetami Tanoerahardjo Hasta Herlan Asymar Hayatun Nufus Humeira Ida Ayu Putu Sri Widnyani Ika Rezvani Aprita Ika Yuniva Irhami Johan Wirahadi Putro Kemalawaty, Mulla Kemas Ya'kub Rahadiyanto Kurnia Laily Washliati M. Syahrul Mahmuddin Mahmuddin Marfiansyah Medya Silvia Wati Moh. Annand Ananda Saputra Muhammad Irsan Saleh Muhammad Mikhail Khalifah Perdana Muhammad Rafi Thoriq Nova Kurniati Nur Ali Farabi Nurhatijah Parameshwara Patricia Wulandari RACHMAT HIDAYAT Rafika Amelia Fitri Regel Miki Praditya Riyad Ramadhan Setiawan, Dimas Muslim Sri Agustina SRI RAHAYU Suraijiah Wina Safutri Yayat Sujatna Zuhri Zuhri Zulvia Maika Letis