What are Audio Classification datasets used for?

Audio Classification datasets are collections of labelled or raw data used to train, fine-tune, and evaluate models on the audio classification task. This page lists 51 such datasets, each linking to its source and paper.

Which Audio Classification dataset is best for benchmarking?

2 of these Audio Classification datasets are tracked as benchmarks, including ATH-MaaS/Marco_Longspeech. See the Benchmarks section for model leaderboards.

How many Audio Classification datasets are there?

We catalog 51 Audio Classification datasets in one searchable directory.

Audio Classification Datasets

There are 51 audio classification datasets in our directory, 2 of which are benchmarks. Each links to its source, paper, and download — browse the full list below or filter by language.

Audio Classification is the task of assigning category labels to audio clips, such as sound events or speaker identity. We catalog 51 datasets for it.

What languages do audio classification datasets cover?

EN datasets (33)ZH datasets (10)English datasets (7)JA datasets (5)AR datasets (5)DE datasets (4)FR datasets (3)YUE datasets (2)BR datasets (2)AF datasets (1)AM datasets (1)AAE datasets (1)AAL datasets (1)AAO datasets (1)ES datasets (1)AS datasets (1)ENG datasets (1)MULTILINGUAL datasets (1)

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What languages do audio classification datasets cover?

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Frequently asked questions

What are Audio Classification datasets used for?

Which Audio Classification dataset is best for benchmarking?

How many Audio Classification datasets are there?