CITATION — REFERENCE ENTRY
teacher-models · li2023-mert
- Citation
- li2023-mert
- Claim ID
- teacher-models
- Assertion
- MERT uses masked-language-modelling-style acoustic pretraining with pseudo-labels from an RVQ-VAE acoustic teacher and a CQT-based musical teacher, and was evaluated on 14 music understanding tasks.
- Quote
This combination includes an acoustic teacher based on Residual Vector Quantisation - Variational AutoEncoder (RVQ-VAE) and a musical teacher based on the Constant-Q Transform (CQT). [...] Experimental results indicate that our model can generalise and perform well on 14 music understanding tasks and attain state-of-the-art (SOTA) overall scores.
- Quote language
- en
- Locator
- section: Abstract
Available in