arXiv Open Access 2020

A Hybrid Approach to Audio-to-Score Alignment

Ruchit Agrawal Simon Dixon

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Abstrak

Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time Warping (DTW) and employ handcrafted features. We explore the usage of neural networks as a preprocessing step for DTW-based automatic alignment methods. Experiments on music data from different acoustic conditions demonstrate that this method generates robust alignments whilst being adaptable at the same time.

Topik & Kata Kunci

eess.AS cs.LG cs.SD

Penulis (2)

Ruchit Agrawal

Simon Dixon

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APA MLA BibTeX

Agrawal, R., Dixon, S. (2020). A Hybrid Approach to Audio-to-Score Alignment. https://arxiv.org/abs/2007.14333

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓