AI-102 · Question #237
Drag and Drop Question You are building a transcription service for technical podcasts. Testing reveals that the service fails to transcribe technical terms accurately. You need to improve the…
The correct answer is Create a Custom Speech project.; Create a speech-to-text model.; Upload training datasets.; Train the model.; Deploy the model. To improve transcription accuracy for technical terms using Azure AI Speech, you must follow the Custom Speech workflow: first create a Custom Speech project to organize your work, then create a speech-to-text model as the base, upload domain-specific training datasets (e.g…
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- Create a Custom Speech project.
- Create a speech-to-text model.
- Upload training datasets.
- Train the model.
- Deploy the model.
Explanation
To improve transcription accuracy for technical terms using Azure AI Speech, you must follow the Custom Speech workflow: first create a Custom Speech project to organize your work, then create a speech-to-text model as the base, upload domain-specific training datasets (e.g., audio + transcripts with technical terminology), train the model on that data to learn the specialized vocabulary, and finally deploy the model to make it available for inference. This sequence leverages Azure's Custom Speech service specifically designed to fine-tune speech recognition for domain-specific language.
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