Microsoft Azure AI Fundamentals AI-900 Practice Question
You are building a voice-enabled customer-support application that must automatically create searchable transcripts of phone calls. Which Azure AI natural language processing capability should you use to convert callers' spoken audio into written text?
Speech recognition, sometimes called speech-to-text, automatically converts the acoustic signal produced by a speaker into machine-readable text. This capability allows applications to capture voice conversations, dictation, or audio files and store the result for search or further natural language processing. By contrast, sentiment analysis rates the emotional polarity of written text, language translation rewrites text in a different language, and key phrase extraction simply highlights important terms and phrases.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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