Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

Ahmad Wisnu Mulyadi; Carmadi Machbub; Ary S. Prihatmanto; Bong-Kee Sin

Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

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Type: Academic journal

Author: Ahmad Wisnu Mulyadi (Pukyong National University) Carmadi Machbub (Bandung Institute of Technology) Ary S. Prihatmanto (Bandung Institute of Technology) Bong-Kee Sin (Pukyong National University)

Journal: Korea Multimedia Society Journal of Korea Multimedia Society Vol.19 No.5 KCI Accredited Journals

Published: 2016.5

Pages: 826 - 836 (11page)

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Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

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Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

#Hidden Markov Model #Support Vector Machine #Chroma Feature #Histogram of Oriented Gradients

ABSTRACT
1. INTRODUCTION
2. DESIGN OF MUSIC LEARNING ASSISTANT
3. FEATURES EXTRACTION
4. PATTERN RECOGNITION METHOD
5. EXPERIMENTS
6. CONCLUSION
REFERENCE

References (18)

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[학술대회논문] - P. Cano / 1995 / Score-Performance Matching Using HMMs / Proceeding of the International Computer Music Association : 441 ~ 444

[학술대회논문] - N. Orio / 2001 / An Automatic Accompanist Based on Hidden Markov Models / Proceeding of Advances in Artificial Intelligence : 64 ~ 69

[학술대회논문] - A. Cont / 2005 / Training IRCAM’s Score Follower / Proceeding of International Conference on Acoustics, Speech, and Signal Processing : 253 ~ 256

[학술대회논문] - B. Pardo / 2005 / Modeling Form for On-line Following of Musical Performances / Proceedings of the 20th National Conference on Artificial Intelligence 2 : 1018 ~ 1023

[학술대회논문] - A. Sheh / 2003 / Chord Segmentation and Recognition using EM-Trained Hidden Markov Models / Proceeding of 4th International Symposium on Music Information Retrieval : 185 ~ 191

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Ahmad Wisnu Mulyadi

Affiliation Pukyong National University

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering Engineering > Computer Science

Articles 2 Usage 34

Carmadi Machbub

Affiliation Institut Teknologi Bandung

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering

Articles 2 Usage 78

Ary Setijadi Prihatmanto

Affiliation Bandung Institute of Technology

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering

Articles 4 Usage 123

Bong-Kee Sin

Affiliation 부경대학교

Fields Engineering > Computer Science Interdisciplinary Studies > Interdisciplinary Research

Articles 64 Usage 4,142

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UCI(KEPA) : I410-ECN-0101-2017-004-000806843

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