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Community Infrastructure to Strengthen AI for Audio Deepfake analysis (CISAAD) particularly for English language audio, is a prototype community resource focused on audio deepfake analysis. Developed by an interdisciplinary team across AI, linguistics, cyber infrastructure and human centered computing, this resource aims to address challenges related to information integrity, and increase awareness of audio deepfakes.

The work will inform our understanding of deepfakes, and also offer opportunities for content generation in positive applications such as voice restoration and smart and connected community research. It includes a deepfake data catalog and repository for English audio data, tools and models for deepfake audio analysis use cases, and educational resources.