Design and implementation of piano audio automatic music transcription algorithm based on convolutional neural network
Abstract This paper presents the design and implementation of an automatic music transcription algorithm for piano audio, utilizing an optimized convolutional neural network with optimal parameters. In this study, we adopt the cepstral coefficient derived from cochlear filters, a method commonly use...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | EURASIP Journal on Audio, Speech, and Music Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13636-025-00412-7 |
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