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ARCH is a model benchmarking tool designed to help users compare audio representation models. It provides a comprehensive platform to evaluate and analyze the performance of different audio models, enabling informed decision-making for researchers and developers.
What models does ARCH support?
ARCH supports a wide range of audio representation models, including popular ones like HuBERT, Wav2Vec, and others. The list of supported models is continuously updated.
How do I interpret the benchmark results?
Benchmark results are presented in a user-friendly format, including metrics, visualizations, and comparisons. Users can focus on the metrics that matter most for their specific application.
Can I add custom models to ARCH?
Yes, ARCH allows users to upload and benchmark their custom audio representation models, enabling flexible and personalized evaluations.