Discover the ideal scenarios for implementing speech synthesis solutions. From secure credit card transactions to real-time news captioning, explore how this technology enhances diverse applications. Learn how it extracts key phrases from meetings and brings AI characters in games to life. Stay informed for seamless integration in your projects.
Table of Contents
Question
In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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 Al 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 Al character in a computer game that speaks audibly to a player
Explanation
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. For example, a customer service system might ask the user to enter their credit card number and then use speech synthesis to read it back and ask for confirmation. This can improve the security and accuracy of the transaction
- D. an AI character in a computer game that speaks audibly to a player. This is another possible use case for speech synthesis, as it can enhance the realism and interactivity of the game. For example, a game developer might use speech synthesis to create different voices for different characters, or to generate dynamic dialogues based on the player’s actions. This can make the game more immersive and engaging
The other two scenarios are not suitable for speech synthesis, but rather for speech recognition or natural language processing. These are:
- 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 the process of converting speech into text, which can then be displayed as captions on the screen. For example, a news channel might use speech recognition to provide subtitles for the viewers who are deaf or hard of hearing, or who speak a different language
- C. extracting key phrases from the audio recording of a meeting. This is a task that requires natural language processing, which is a branch of artificial intelligence that deals with understanding and analyzing natural language. Natural language processing can be used to extract meaningful information from text or speech, such as key phrases, topics, sentiments, or entities. For example, a business analyst might use natural language processing to summarize the main points of a meeting recorded in audio format
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