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[ARTICLE · art-64048] src=telnyx.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

NVIDIA Parakeet STT Now Available for Telnyx Voice AI

NVIDIA Parakeet is now available as a speech-to-text engine for Telnyx Voice AI, enabling self-hosted multilingual transcription with automatic language detection for 25 European languages on Telnyx infrastructure. The engine, built on the nvidia/parakeet-tdt-0.6b-v3 model, requires no third-party API hop or language hint and supports linear16, linear32, mp3, or wav audio at 16 kHz, returning only final transcripts.

read1 min views3 publishedJul 17, 2026
NVIDIA Parakeet STT Now Available for Telnyx Voice AI
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NVIDIA Parakeet is now available as a speech-to-text engine for Telnyx Voice AI, bringing self-hosted multilingual transcription with automatic language detection to production voice workflows. Built on the nvidia/parakeet-tdt-0.6b-v3

model, Parakeet transcribes 25 European languages on Telnyx infrastructure, with no third-party API hop and no language hint required.

language

parameter is required.transcription_start

, TeXML <Gather>

with transcription, and the standalone TeXML <Transcription>

verb. REST batch transcription is not available.linear16

, linear32

, mp3

, or wav

audio at 16 kHz.nvidia/parakeet-v3

.For Call Control, POST to transcription_start

:

{
  "transcription_engine": "Parakeet",
  "transcription_engine_config": {
    "transcription_engine": "Parakeet",
    "transcription_model": "nvidia/parakeet-v3"
  }
}

For TeXML <Gather>

:

<Gather transcriptionEngine="Parakeet" model="nvidia/parakeet-v3">
  <Say>Please speak after the tone.</Say>
</Gather>

For WebSocket streaming:

wss://api.telnyx.com/v2/speech-to-text/transcription?transcription_engine=Parakeet&model=nvidia/parakeet-v3&input_format=linear16&sample_rate=16000

Parakeet accepts linear16

, linear32

, mp3

, or wav

audio at 16 kHz and returns final transcripts only. No interim or partial results. Endpointing is ignored.

Learn more in the Speech-to-Text models docs or the WebSocket streaming reference.

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