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

> Source: <https://telnyx.com/release-notes/omi-health-medical-stt-voice-ai>
> Published: 2026-09-22 12:00:00+00:00

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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:

``` python
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](https://developers.telnyx.com/docs/voice/stt/models), the [Speech-to-Text REST API overview](https://developers.telnyx.com/docs/voice/stt/rest-api), or the [AI Assistants transcription settings](https://developers.telnyx.com/docs/inference/ai-assistants/transcription-settings).