PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music-Reference-Cited by-同舟云学术

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
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Author:

Liang Hongru¹,Lei Wenqiang²,Chan Paul Yaozhu³,Yang Zhenglu¹,Sun Maosong⁴,Chua Tat-Seng²

Affiliation:

1. Nankai University, Tianjin, China

2. National University of Singapore, Singapore, Singapore

3. A*STAR, Singapore, Singapore

4. Tsinghua University, Beijing, China

Funder

Ministry of education of Humanities and Social Science project

National Research Foundations of Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3414032

Reference32 articles.

1. Distributed Vector Representations of Folksong Motifs

2. Polyphonic piano note transcription with recurrent neural networks

3. Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language Models are Few-Shot Learners. (2020). arXiv:cs.CL/2005.14165 Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language Models are Few-Shot Learners. (2020). arXiv:cs.CL/2005.14165

4. From context to concept: exploring semantic relationships in music with word2vec

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