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In a scenario where you need to implement speech-to-text functionality for a real-time transcription service, what steps would you take to ensure the accuracy of the transcription, especially in environments with varying levels of background noise? Consider the use of Azure services and any necessary customization.
In a scenario where you need to implement speech-to-text functionality for a real-time transcription service, what steps would you take to ensure the accuracy of the transcription, especially in environments with varying levels of background noise? Consider the use of Azure services and any necessary customization.
Simulated
Explanation:
Training a custom speech model using Azure Custom Speech allows the system to adapt to the specific background noise patterns commonly encountered in real-time transcription services. This customization improves the accuracy of the transcription, especially in varying noise conditions, making option C the correct choice.