Common Voice dataset vs. Coalesce

Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.

Coalesce is the data operating layer for analytics and AI. It unifies data transformation, cataloging, and quality in one governed platform. Coalesce Transform, Coalesce Catalog, and Coalesce Quality share one metadata layer, one set of definitions, and one governance model. • One system, not a stitched toolchain: Transform, Catalog, and Quality share one metadata layer, one set of definitions, and one governance model. • Govern every actor, human or AI: an agent follows the same standards, approvals, and lineage as an engineer in the IDE.