African Speech Corpora MCP is a read-only Model Context Protocol server for discovering and selecting African speech corpora, initially focused on Wolof. It exposes audited quality metrics, provenance, licensing information, and training-set planning data for speech researchers and ML developers.
African Speech Corpora MCP is a Frameworks & runtimes project. It focuses on selecting suitable African speech corpora with reliable quality, provenance, licensing, and training-set metrics. African Speech Corpora MCP is an open-source project aimed at speech researchers and machine-learning developers. It runs on the command line, and it can be self-hosted.
Behind African Speech Corpora MCP is papasega. Key capabilities include corpus discovery, quality metrics, and provenance tracking. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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