An ensemble model combining YAMNet and Wav2Vec2 to classify infant cries, screams, and normal utterances with high accuracy. Integrated with Temporal Workflow for real-time inference. 🚀
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Updated
Feb 24, 2025 - Jupyter Notebook
An ensemble model combining YAMNet and Wav2Vec2 to classify infant cries, screams, and normal utterances with high accuracy. Integrated with Temporal Workflow for real-time inference. 🚀
KMED-I models the newborn’s cry as the first epistemic event, simulating caregiver responses—fiduciary, inconsistent, neglectful, or silencing—and their impact on autonomy, dissonance tolerance, and dependence. A computational tool for developmental psychology, psychiatry, and epistemic theory.
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