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An extensive collection of Speech Emotion Recognition (SER) datasets across multiple languages, including English, Mandarin, Hindi, Spanish, Tamil, Arabic, and more. Perfect for training emotion detection models in diverse linguistic and cultural contexts.
Quality-aware, read-only MCP server for discovering and selecting African speech corpora, Wolof first, with audited metrics, provenance, licensing, and training-set planning.