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Preparing your workspace
Contribute a voice sample with the text being spoken, language, dialect, place context, and quality signals so Indian regional-language AI can improve from consented, well-described recordings.
Privacy position
Do not record names, phone numbers, exact addresses, IDs, or private facts. Voice and metadata are still sensitive. Contribution should happen only with clear consent and should be used for language archive and model-training workflows, not public identity exposure.
Local Quality Algorithm
1. Record or Upload
2. Quality Result
Record or upload audio to see a quality score.
3. Words, Meaning + Metadata
For tribal, Indigenous, endangered, or local dialect recordings, write the original words in your script if possible. If typing that script is difficult, use English letters. A short meaning is enough.
A voice can still identify a person. This flow is designed for consented language collection, not public personal profiling. The draft download keeps contribution data local until a real secure upload and review pipeline is implemented.
Required: audio, original words, meaning, language, country, and all consent confirmations.
Share the Mission
A simple status can bring another speaker, another dialect, or another village into the archive. The link brings people directly to this studio.
Instagram does not support direct web status posting, so this copies the status text and opens Instagram.
Production storage should separate audio blobs, transcript text, quality report, location granularity, consent version, and review status. Direct identifiers should be rejected or removed before training.
Language, dialect, region, speaking style, and environment help the model understand acoustic variation without needing a person's private identity.
Only consented and reviewed samples should enter curated datasets. Low-quality, private, unsafe, or unclear-rights recordings should be quarantined or deleted.