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A Louisiana team is using old nursery rhymes and archive recordings to build community-controlled speech tools for Louisiana French.
In short: Linguists in Louisiana are training a speech AI using old Cajun French recordings so the local community can control how its language works in digital tools.
A small team of linguists in Louisiana is building its own automatic speech recognition model, often called ASR (software that turns spoken words into text, like subtitles for a video). The focus is Louisiana French, also known as Cajun French, a variety of French with deep roots in the state and fewer speakers today.
The project grew out of a practical problem. A linguist noticed that popular voice assistants did not recognize important Louisiana French names and cultural references. Instead of waiting for big tech companies to fix it, the team organized at a Louisiana cultural center to create a model made for their dialect.
To train the system, the group is using historical audio held in Louisiana archives. This includes field recordings, oral history interviews, folk tales, and centuries-old nursery rhymes. The Center for Louisiana Studies is one source, and it says it holds the world’s largest collection of Cajun and Creole field recordings and folklife materials.
If mainstream tools only understand English or standard French, Louisiana French speakers can be left out online and misheard in everyday tech. Using nursery rhymes and folklore can help capture local pronunciation and rhythm, plus older words and expressions that do not show up in standard French sources. Just as a cookbook preserves family recipes, these recordings can help preserve how the language actually sounds, while keeping local control over how voices and stories are used.
Source: NYTimes