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[ARTICLE · art-146329] src=telnyx.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Medical Speech-to-Text Now Available for Telnyx Voice AI

Omi Health's medical speech-to-text model omi-health/omi-med-stt-v1 is now available as a Telnyx STT engine, Telnyx announced, bringing self-hosted, medical-tuned transcription to voice AI workflows. The model, a fine-tune of nvidia/parakeet-tdt-0.6b-v2 that runs on the same self-hosted Parakeet stack as nvidia/parakeet-v3, targets clinical dialogue, medication names and dosages, and is reachable via transcription_start, TeXML <Gather> or <Transcription>, WebSocket streaming, AI Assistants transcription settings, or the OpenAI SDK-compatible Speech-to-Text REST API. On streaming surfaces it accepts linear16 or linear32 audio at 16 kHz and returns final transcripts only, with no interim or partial results and endpointing ignored; the REST endpoint transcribes synchronously, forces mono, and caps uploads at 100 MB.

read1 min views16 publishedSep 22, 2026
Medical Speech-to-Text Now Available for Telnyx Voice AI
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Omi Health's medical speech-to-text model, omi-health/omi-med-stt-v1, is now available as a Telnyx STT engine, bringing self-hosted, medical-tuned transcription to voice AI workflows. Built as a fine-tune of nvidia/parakeet-tdt-0.6b-v2, the model targets clinical dialogue, medication names, and dosages, and runs on the same self-hosted Parakeet stack as nvidia/parakeet-v3.

omi-health/omi-med-stt-v1 is trained on clinical dialogue and transcribes medication names, dosages, and medical terminology more accurately than general-purpose models.transcription_start, TeXML <Gather> or <Transcription>, WebSocket streaming, AI Assistants transcription settings, or the Speech-to-Text REST API for file transcription.linear16 or linear32 audio at 16 kHz. For Call Control, POST to transcription_start:

{
  "transcription_engine": "Parakeet",
  "transcription_engine_config": {
    "transcription_engine": "Parakeet",
    "transcription_model": "omi-health/omi-med-stt-v1"
  }
}

For TeXML <Gather>:

<Gather transcriptionEngine="Parakeet" model="omi-health/omi-med-stt-v1">
  <Say>Please describe your symptoms after the tone.</Say>
</Gather>

For WebSocket streaming:

wss://api.telnyx.com/v2/speech-to-text/transcription?transcription_engine=Parakeet&model=omi-health/omi-med-stt-v1&input_format=linear16&sample_rate=16000

On streaming surfaces, omi-health/omi-med-stt-v1 accepts linear16 or linear32 audio at 16 kHz and returns final transcripts only. No interim or partial results. Endpointing is ignored.

For file transcription, POST to the Speech-to-Text REST API. It's OpenAI SDK compatible, so swapping base_url and api_key is enough for existing Whisper-style code:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_TELNYX_API_KEY",
    base_url="https://api.telnyx.com/v2",
)

result = client.audio.transcriptions.create(
    model="omi-health/omi-med-stt-v1",
    file=open("visit-recording.mp3", "rb"),
)

The REST endpoint transcribes synchronously, forces mono, and caps uploads at 100 MB.

Learn more in the Speech-to-Text models docs, the Speech-to-Text REST API overview, or the AI Assistants transcription settings.

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