Ringg launches Parrot: A speech-to-text model optimized for noisy, Hindi-heavy voice agent conversations
By
Parth Chadha
A bagel you'd recommend to a friend without hedging.
Summary
Ringg introduces Parrot, a speech-to-text model specifically designed for production-grade voice agents. Unlike standard STT models that perform well only on clean audio, Parrot handles real-world challenges like compressed phone calls, Hindi-English code-switching, Indian accents, background noise, and low-latency inference. It also features Hindi validation and normalization for cleaner downstream workflows, with strong Normalised WER performance on open-source benchmarks.
Key quotes
· 5 pulledMost STT models do well on clean audio. Voice agents don't get clean audio.
They deal with compressed phone calls, Hindi-English code-switching, Indian accents, background noise, and conversations where one misheard word can break the next action.
Built for real world calls
Low latency inference for smoother voice agent conversations
Hindi validation and normalization for cleaner downstream workflows
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