AI-900: Transformative Tech: Decoding the Role of Speech Recognition in Conference Subtitling

Uncover the magic behind conference accessibility as we explore how speech recognition seamlessly transcribes sessions into subtitles. Dive into the technology shaping this transformation and understand its impact on audience engagement. Elevate your knowledge on the convergence of spoken words and written text in real-time scenarios.

Question

HOTSPOT (Drag & Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.

While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of __________ .

A. sentiment analysis.
B. speech recognition.
C. speech synthesis.
D. translation.

Answer

D. translation.

Explanation

The correct answer is D. translation. This is an example of translation because the session is transcribed into subtitles for the audience in a different language than the speaker’s. Translation is the process of converting text or speech from one language to another, while preserving the meaning and context of the original message. Translation can be done by humans or by machines, such as Microsoft Translator.

Some of the other options are incorrect because:

• A. sentiment analysis is the process of identifying and extracting the emotional tone or attitude of a text or speech, such as positive, negative, or neutral. Sentiment analysis can be used for applications such as customer feedback, social media analysis, or product reviews.
• B. speech recognition is the process of converting spoken words into text or commands that can be understood by a computer or a device. Speech recognition can be used for applications such as voice assistants, dictation, or accessibility.
• C. speech synthesis is the process of generating artificial speech from text or data. Speech synthesis can be used for applications such as text-to-speech, audiobooks, or voiceovers.

Reference

Microsoft Azure Products > Cognitive Services > Speech to text

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