In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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A. B. C. D.BD
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#featuresSpeech recognition is a technology that enables machines to recognize and convert spoken language into text. It can be used in various scenarios to improve user experience, accessibility, and efficiency. Here are the two scenarios in which speech recognition can be used:
A. An in-car system that reads text messages aloud: Speech recognition can be used to create an in-car system that reads text messages aloud. This technology can help drivers stay connected while on the road without taking their eyes off the road or hands off the steering wheel. The system can recognize incoming messages and read them out loud, allowing the driver to respond with voice commands. This feature can improve the safety of the driver and passengers and reduce distracted driving.
B. Providing closed captions for recorded or live videos: Speech recognition can be used to provide closed captions for recorded or live videos. Closed captions make videos more accessible to people who are deaf or hard of hearing, people who are not fluent in the language spoken in the video, or people who prefer to read the content instead of listening to it. Speech recognition technology can automatically transcribe the audio content of the video and convert it into text, which can then be displayed as closed captions. This feature can improve the accessibility and reach of videos, making them more inclusive for a wider audience.
C. Creating an automated public address system for a train station and D. Creating a transcript of a telephone call or meeting are not scenarios where speech recognition is used as the sole solution. For scenario C, speech recognition can be used in combination with text-to-speech technology to create an automated public address system. And for scenario D, speech recognition can be used to transcribe the audio content of the call or meeting.