Sreyan88/CompA
Code for ICLR 2024 Paper: CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
This project helps researchers and developers working with audio-language models improve how well these models understand complex audio descriptions. It takes existing audio-language models and structured audio datasets as input, and outputs enhanced models that are better at recognizing nuanced combinations of sounds and attributes. Audio AI researchers, machine learning engineers, and deep learning practitioners focused on audio applications would find this useful.
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Use this if you are developing or researching audio-language models and need to improve their ability to understand complex, multi-faceted audio events and their descriptions.
Not ideal if you are an end-user looking for a pre-built application or a tool for general audio analysis, rather than a research framework for model improvement.
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2
Language
Python
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Last pushed
Jul 10, 2024
Commits (30d)
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