aac-metrics

Labbeti

Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.

metrics

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71 Stars

8 Forks

71 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$65.7K

Market Value

$195.4K

How is this calculated?

Growth over time

1 data points · 2026-04-07 → 2026-04-07

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What is the Labbeti/aac-metrics GitHub project? Description: "Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone aac-metrics

Clone via HTTPS

git clone https://github.com/Labbeti/aac-metrics.git

Clone via SSH

[email protected]:Labbeti/aac-metrics.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the aac-metrics issue tracker:

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