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HEAR Benchmark

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About

The HEAR Benchmark aims to develop a general-purpose audio representation suitable for various tasks and scenarios. It assesses audio representations through a comprehensive suite of tasks in different domains including speech, environmental sound, and music. The benchmark includes nineteen distinct tasks that cover short and long time spans, open-source evaluation code for classification tasks, an API for creating HEAR-compatible models, and a leaderboard for performance tracking. Initially launched as a competition in NeurIPS 2021, HEAR is sponsored by Google and all evaluations used Google Cloud Platform.

Platform
Web
Keywords
researchaudioevaluationbenchmarkrepresentation
Task
audio evaluation
Features

• open-source evaluation code

• wide range of tasks including speech, environmental sound, and music

• leaderboard for tracking performance

• api for developing hear-compatible models

• benchmark of nineteen diverse tasks

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