Joint Drum Transcription and Metrical Analysis Based on Periodicity-Aware Multi-Task Learning-Reference-Cited by-同舟云学术

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Joint Drum Transcription and Metrical Analysis Based on Periodicity-Aware Multi-Task Learning

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Kamakura Daichi¹,Nanamura Eita¹,Oyama Takehisa¹,Yoshii Kazuyoshi¹

Affiliation:

1. Kyoto University,Graduate School of Informatics,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317285.pdf?arnumber=10317285

Reference25 articles.

1. Temporal convolutional networks for musical audio beat tracking;daveis;European Signal Processing Conference (EUSIPCO),2019

2. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai,2018

3. Deep unsupervised drum transcription;choi;International Society for Music Information Retrieval Conference (ISMIR),2019

4. Increasing drum transcription vocabulary using data synthesis;cartwright;International Conference on Digital Audio Effects (DAFx),2018

5. Temporal convolutional networks: A unified approach to action segmentation;lea;European Conference on Computer Vision (ECCV),2016

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