Mertech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model with Multi-Task Finetuning-Reference-Cited by-同舟云学术

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Mertech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model with Multi-Task Finetuning

Published:2024-04-14 Issue: Volume: Page:521-525
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Li Dichucheng¹,Ma Yinghao²,Wei Weixing¹,Kong Qiuqiang³,Wu Yulun¹,Che Mingjin⁴,Xia Fan⁴,Benetos Emmanouil²,Li Wei¹

Affiliation:

1. Fudan University,School of Computer Science and Technology,Shanghai,China

2. Queen Mary University of London,Centre for Digital Music,UK

3. The Chinese University of Hong Kong (CUHK)

4. Sichuan Conservatory of Music,College of Experimental Art,Sichuan,China

Funder

UK Research and Innovation

Leverhulme Trust

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447445.pdf?arnumber=10447445

Reference26 articles.

1. Extended playing techniques

2. Computational modelling and analysis of vibrato and portamento in expressive music performance;Yang,2017

3. TENT: Technique-Embedded Note Tracking for Real-World Guitar Solo Recordings

4. Note and Playing Technique Transcription of Electric Guitar Solos in Real-World Music Performance

5. Adaptive Scattering Transforms for Playing Technique Recognition

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