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hearbenchmark / hear-eval-kit

Evaluation kit for the HEAR Benchmark
https://hearbenchmark.com
Apache License 2.0
54 stars 17 forks source link

Create a tutorial document -- Jupyter Book? #57

Closed jorshi closed 3 years ago

jorshi commented 3 years ago

Should have the following components:

•Background and motivation (from proposal doc) •Summary of relevant prior works and synthesis of general trends in the literature, both in audio as well as adjacent ML fields whose progress in representation learning has not yet been borne out in audio ML research. •A high-level description of the variety of domains and tasks that the model will be evaluated on. A particular emphasis will be made on high societal impact audio tasks that are currently underrepresented, such as low-resource languages, environ-mental and ecological safety, clinical speech applications, and ethnomusicology, thus encouraging participants to devise impactful datasets rather than relying solely upon popular and/or commercially viable benchmarks.

turian commented 3 years ago

This is more like overleaf than a Jupyter book