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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.4
- 발행연도
- 2024.8
- 수록면
- 322 - 327 (6page)
- DOI
- 10.5573/IEIESPC.2024.13.4.322
이용수
초록· 키워드
오류제보하기
Precise extraction of the main melody from polyphonic music is a critical challenge in vocal information processing. This paper starts with a brief introduction to extracting vocal music information features. Two distinct feature types were selected: the Mel-frequency cepstral coefficient (MFCC) and chroma. An innovative main melody extraction algorithm was then developed using a convolutional neural network (CNN) and conditional random field (CRF). The performance of the algorithm was validated on datasets. The main melody extraction effects were improved significantly using MFCC and chroma as inputs to the CNN-CRF algorithm for feature extraction. The algorithm achieved an overall accuracy (OA) of 86.72% and a voicing false alarm (VFA) of 6.84% on the ADC2004 dataset. On the MIREX05 dataset, the algorithm attained an OA and VFA of 85.21% and 11.16%, respectively. The algorithm exhibited pronounced enhancement when being tested on the MIREX05 dataset, and chroma played a notable role in enhancing the raw chroma accuracy. This algorithm also performed better than the SegNet and FTANet algorithms.
목차
Abstract
1. Introduction
2. Melody Extraction for Vocal Information
3. Results and Analysis
4. Conclusion
References
참고문헌 (18)
참고문헌 신청
C. Roig, Tardón, J. Lorenzo, I. Barbancho, and A. M. Barbancho, “A Non-Homogeneous Beat-Based Harmony Markov Model,” Knowledge-Based Systems, Vol. 142, pp. 85-94, 2018. Article (CrossRef Link)
D. Bisharad, and R. H. Laskar, “Music genre recognition using convolutional recurrent neural network architecture,” Expert Systems, Vol. 36, No. 4, pp. e12429.1-e12429.13, 2019. Article (CrossRef Link)
J. Abeer, “Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks,” Electronics, Vol. 10, No. 7, pp. 1-18, 2021. Article (CrossRef Link)
D. Martin-Gutierrez, G. Hernandez Penaloza, A. Belmonte-Hernandez, and F. Alvarez Garcia, “A Multimodal End-To-End Deep Learning Architecture for Music Popularity Prediction,” IEEE Access, Vol. 8, pp. 39361-39374, 2020. Article (CrossRef Link)
S. Li, S. Jang, and Y. Sung, “Melody Extraction and Encoding Method for Generating Healthcare Music Automatically,” Electronics, Vol. 8, No. 11, pp. 1-15, 2019. Article (CrossRef Link)
D. Bisharad, and R. H. Laskar, “Music genre recognition using convolutional recurrent neural network architecture,” Expert Systems, Vol. 36, No. 4, pp. e12429.1-e12429.13, 2019. Article (CrossRef Link)
J. Abeer, “Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks,” Electronics, Vol. 10, No. 7, pp. 1-18, 2021. Article (CrossRef Link)
D. Martin-Gutierrez, G. Hernandez Penaloza, A. Belmonte-Hernandez, and F. Alvarez Garcia, “A Multimodal End-To-End Deep Learning Architecture for Music Popularity Prediction,” IEEE Access, Vol. 8, pp. 39361-39374, 2020. Article (CrossRef Link)
S. Li, S. Jang, and Y. Sung, “Melody Extraction and Encoding Method for Generating Healthcare Music Automatically,” Electronics, Vol. 8, No. 11, pp. 1-15, 2019. Article (CrossRef Link)
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