MW-MAE Audio Learners.pdf

2306.00561.pdf
Preview of MW-MAE Audio Learners
🔗 Source: arxiv.org
📊 Size: 1.4 MB
📄 Pages: 17 pages
⬇️ Downloads: 68

Summary

Researchers propose Multi-Window Masked Autoencoders (MW-MAE) with a novel Multi-Window Multi-Head Attention module, outperforming standard MAEs on 10 downstream audio tasks, learning better general-purpose audio representations, and demonstrating improved scaling characteristics.

Description

Researchers propose Multi-Window Masked Autoencoders (MW-MAE) with a novel Multi-Window Multi-Head Attention module, outperforming standard MAEs on 10...

Technical Information

  • File Format: PDF
  • File Size: 1.4 MB
  • Pages: 17
  • Language: EN
  • Total Downloads: 68
  • Last Updated: 11 hours ago

Document Overview

This PDF document about MW-MAE Audio Learners provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into MW-MAE Audio Learners.

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