Discover the transformative applications of speech synthesis with precision. Explore two distinct scenarios where this technology shines, providing complete solutions. Elevate your understanding and harness the potential of speech synthesis in real-world situations. Uncover the possibilities now.
Table of Contents
Question
In which two scenarios can you use a speech synthesis solution? (Each correct answer presents a complete solution. Choose two.)
A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
B. generating live captions for a news broadcast
C. extracting key phrases from the audio recording of a meeting
D. an AI character in a computer game that speaks audibly to a player
Answer
A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
D. an AI character in a computer game that speaks audibly to a player
Explanation
The correct answer is A and D. A speech synthesis solution is a system that converts text into speech, which can be used for various purposes such as:
- A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad. This is a common use case for speech synthesis, as it provides a way to confirm the input of the user and avoid errors. Speech synthesis can also be used to provide feedback, instructions, or information to the user over the phone, such as in interactive voice response (IVR) systems or voice assistants.
- D. an AI character in a computer game that speaks audibly to a player. This is another example of speech synthesis, as it can create a more immersive and realistic gaming experience. Speech synthesis can also be used to generate dialogue, narration, or sound effects for the game, depending on the genre and style of the game.
The other two options are not related to speech synthesis, but to other types of speech solutions, such as:
- B. generating live captions for a news broadcast. This is a task that requires speech recognition, which is the opposite of speech synthesis. Speech recognition is a system that converts speech into text, which can be used for various purposes such as transcription, captioning, or voice commands.
- C. extracting key phrases from the audio recording of a meeting. This is a task that requires speech analysis, which is a system that applies natural language processing (NLP) techniques to speech data, such as sentiment analysis, topic modeling, or keyword extraction. Speech analysis can be used for various purposes such as summarization, indexing, or insights.
References
Azure Services > Cognitive Services > Text to Speech
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