Medical Domain Model

We offer a medical domain model for recognition of words that are common in the medical settings, such as diagnoses, medications, symptoms, treatments, diseases and anatomical parts.

Use the medical domain model for medical conversations between providers and patients.

Example

In the example below, we set the model parameter to precision_medical.

Python Lib

configure_model_medical.py

from soniox.transcribe_file import transcribe_file_short
from soniox.speech_service import SpeechClient, set_api_key

set_api_key("<YOUR-API-KEY>")


def main():
    with SpeechClient() as client:
        result = transcribe_file_short(
            "../test_data/test_audio.flac", client, model="precision_medical"
        )
        for word in result.words:
            print(f"{word.text} {word.start_ms} {word.duration_ms}")


if __name__ == "__main__":
    main()

Run

python3 configure_model_medical.py

Output

He 180 60
was 420 60
two 660 60
...

Node Lib

configure_model_medical.js

const { SpeechClient } = require("@soniox/soniox-node");

// Do not forget to set your Soniox API key.
const speechClient = new SpeechClient();

(async function () {
    const result = await speechClient.transcribeFileShort(
        "../test_data/test_audio.flac",
        {
            model: "precision_medical"
        }
    );

    for (const word of result.words) {
        console.log(`${word.text} ${word.start_ms} ${word.duration_ms}`);
    }
})();

Run

node configure_model_medical.js

Output

He 180 60
was 420 60
two 660 60
...