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The image below depicts the overall workflow of the use case:
In the first step shown above, the patient initiates a conversation in English, and the Azure AI Speech container captures and transcribes this audio. The steps outlined in the following article document this process: Custom speech to text containers with Docker.
In the second step, the transcribed English text is passed to the Azure AI Translator Container, which translates the text into Spanish. The steps outlined in the following article document this process: Install and run Azure AI Translator container.
In the third step, the translated Spanish text is fed into the Azure AI Speech container, which vocalizes the text. The steps outlined in the following article document this process: Text to speech containers with Docker.
Finally, the doctor receives a Spanish transcript and audio, enabling them to understand and continue the conversation. The process repeats with reversed languages to facilitate effective communication, therefore eliminating the language barrier.