Massive Sound Embedding Benchmark (MSEB)

March 24, 2026 ยท View on GitHub

Unittests PyPI version

This is not an officially supported Google product.

The Massive Sound Embedding Benchmark (MSEB) provides a framework for assessing sound embedding methods across diverse sound categories and tasks that leverage improved sound representations.

The published leaderboard can be found at: https://google-research.github.io/mseb/leaderboard.html