Learn how to create a text transcript of a voice recording with Azure Speech Services using natural language processing (NLP). Find out what NLP is and how it can help you convert speech to text and vice versa.
Table of Contents
Question
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Select the answer that correctly completes the sentence.
Creating a text transcript of a voice recording is an example of __________.
A. a computer vision workload.
B. a knowledge mining workload.
C. a natural language processing (NLP) workload.
D. an anomaly detection workload.
Answer
C. a natural language processing (NLP) workload.
Explanation
The correct answer is C. a natural language processing (NLP) workload.
A natural language processing (NLP) workload is a type of artificial intelligence (AI) task that involves analyzing, understanding, and generating natural language, such as speech or text. Creating a text transcript of a voice recording is an example of an NLP workload because it requires converting spoken language into written language, which involves speech recognition, language modeling, and text generation.
A computer vision workload is a type of AI task that involves analyzing, understanding, and generating visual content, such as images or videos. A computer vision workload would not involve creating a text transcript of a voice recording, unless the recording was accompanied by a video that needed to be analyzed.
A knowledge mining workload is a type of AI task that involves extracting insights and information from large amounts of structured and unstructured data, such as documents, emails, web pages, etc. A knowledge mining workload would not involve creating a text transcript of a voice recording, unless the recording was part of a larger data set that needed to be searched and indexed.
An anomaly detection workload is a type of AI task that involves identifying unusual or unexpected patterns or events in data, such as fraud, network intrusion, or system failure. An anomaly detection workload would not involve creating a text transcript of a voice recording, unless the recording contained some abnormal or suspicious activity that needed to be detected.
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