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AI-900: Exploring the Diverse Applications of Speech Recognition Technology

Discover the versatility of speech recognition in various practical scenarios. Learn how this technology can be utilized to read text messages aloud in-car, provide closed captions for videos, automate public address systems, and transcribe telephone calls and meetings, enhancing communication and accessibility.

Question

In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. an in-car system that reads text messages aloud
B. providing closed captions for recorded or live videos
C. creating an automated public address system for a train station
D. creating a transcript of a telephone call or meeting

Answer

B. providing closed captions for recorded or live videos
D. creating a transcript of a telephone call or meeting

Explanation

The correct answers are B. providing closed captions for recorded or live videos and D. creating a transcript of a telephone call or meeting.

Speech recognition is a type of natural language processing that can convert speech to text or text to speech. Speech recognition can use advanced algorithms to analyze the sound, frequency, pitch, or context of the speech and return a text output or a speech output.

Two of the scenarios that can use speech recognition are:

  • Providing closed captions for recorded or live videos: Speech recognition can be used to provide subtitles or captions for videos that contain speech, such as movies, TV shows, or online courses. Speech recognition can use techniques such as speech-to-text, speech translation, or speech synthesis to convert the speech in the video to text, translate the text to another language, or generate a speech output in another language.
  • Creating a transcript of a telephone call or meeting: Speech recognition can be used to create a written record of a conversation that occurs over the phone or in a meeting, such as a customer service call, a sales call, or a team meeting. Speech recognition can use techniques such as speech-to-text, speaker identification, or speech synthesis to convert the speech in the conversation to text, identify the speakers, or generate a speech output from the text.

The other two scenarios are not suitable for using speech recognition, but for using other natural language processing services:

  • An in-car system that reads text messages aloud: This is not a speech recognition scenario, but a text-to-speech scenario. Text-to-speech is a technique that can convert text to speech, such as reading text messages, emails, or web pages aloud. Text-to-speech can use techniques such as natural language understanding, natural language generation, or speech synthesis to process and understand text and generate a speech output.
  • Creating an automated public address system for a train station: This is not a speech recognition scenario, but a speech synthesis scenario. Speech synthesis is a technique that can generate speech from text, such as announcing train arrivals, departures, or delays. Speech synthesis can use techniques such as natural language understanding, natural language generation, or speech synthesis to process and understand text and generate a speech output.

Reference

Microsoft Azure Products> Cognitive Services> Speech-to-Text > Overview

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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