I’m thrilled to introduce Parrot, Ringg’s speech-to-text model built for production-grade voice agents.
Most STT models perform well on clean audio. Voice agents don’t get clear audio. They deal with compressed phone calls, Hindi-English code-switching, Indian accents, background noise and conversations where one wrong word can disrupt the next action.
What makes it different:
🦜 Built for real-world calls
🦜 Low latency estimates for seamless voice agent conversations
🦜 Hindi validation and normalization for clean downstream workflows
🦜 Strong normalized WER performance on open-source Hindi benchmarks
For teams building voice agents, Parrot helps transform dirty speech into clean transcripts that LLMs can actually use.
Give it a try and let us know what you make with it!
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