Common Voice dataset vs. Ataccama ONE

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.

Ataccama ONE is a data trust platform that helps organizations improve data quality, monitor data reliability, govern enterprise data assets, and prepare trusted data for analytics and AI initiatives. Designed for complex cloud, on-premises, and hybrid environments, the platform is used by data governance teams, data quality managers, data engineers, analytics teams, and AI programs that require accurate, governed, and auditable data. The platform combines data quality, data observability, data catalog, data lineage, and reference data management in a unified solution.