Your feedback is essential – not only for improving dblp, but also for demonstrating its impact to our public funders, who rely on our community input when evaluating our work. That’s why we warmly invite you to take part in our 2025 user survey. Your insights help us understand how the community uses dblp and directly shape its future development. Thank you for contributing to dblp’s future!

For some months now, the dblp team has been receiving an exceptionally high number of support and error correction requests from the community. While we are grateful and happy to process all incoming emails, please assume that it will currently take us several weeks, if not months, to read and address your request. Most importantly, please refrain from sending your request multiple times. This will not advance your issue and will only complicate and extend the time required to address it. Thank you for your understanding.

default search action

combined dblp search
author search
venue search
publication search

ask others

"Unsupervised Generative Adversarial Alignment Representation for Sheet ..."

Donghuo Zeng, Yi Yu, Keizo Oyama (2020)

> Home

Details and statistics

DOI: 10.1109/BIGMM50055.2020.00031

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigmm/Zeng0O20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigmm/Zeng0O20
Donghuo Zeng, Yi Yu, Keizo Oyama:
Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics. BigMM 2020: 162-165

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.