Rafiqspace hits 97.7 percent accuracy for Indonesian speech recognition

A new benchmark shows improved voice-to-text accuracy for Bahasa Indonesia.

Reported45 sec read

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Aug 3: Rafiqspace hits 97.7 percent accuracy for Indonesian speech recognition

Photo: Howard Bouchevereau · Unsplash

What happened

Rafiqspace.ai reported 97.7 percent accuracy for Bahasa Indonesia speech recognition. Automatic speech recognition turns spoken audio into written text. The project used Nvidia NeMo Parakeet, an open-source speech model framework. The original report is brief and omits details on commercial availability.

The context

Bahasa Indonesia has over 200 million speakers, but many global speech tools still focus mainly on English. High accuracy scores help local developers build more reliable voice products for the region.

Sources

nvidia.com ↗ via Google News Reported

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