Native Communities Use Advanced Tech to Save Critical Languages
Indigenous communities are building their own machine-learning and artificial intelligence tools to preserve languages—and heritages—that are on the brink.
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Indigenous communities are building their own machine-learning and artificial intelligence tools to preserve languages—and heritages—that are on the brink.
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Re-training is fast enough to be done at runtime (usually 5s), even up to millions of possible voice commands. This means you can change referenced slot values or add/remove intents on the fly. All of the available commands are designed to work well in Unix pipelines, typically consuming/emitting plaintext or newline-delimited JSON. Audio input/output is file-based, so you can receive audio from any source. How it Works voice2json needs a description of the voice commands you want to be recognized in a file named sentences.ini. This can be as simple as a listing of [Intents] and sentenc...