AI-900: Microsoft Azure AI Fundamentals - Speech Synthesis Scenarios

Speech Synthesis Scenarios

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.

Answers

Explanations

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A. B. C. D.

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Azure Text to Speech is a Speech service feature that converts text to lifelike speech.

Incorrect Answers:

C: Extracting key phrases is not speech synthesis.

https://azure.microsoft.com/en-in/services/cognitive-services/text-to-speech/

Speech synthesis, also known as text-to-speech, is a technology that converts written text into spoken words. It has many practical applications in various fields, including healthcare, education, customer service, entertainment, and more. Here are the two scenarios where speech synthesis solution can be used:

A. An automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

In this scenario, speech synthesis can be used to provide a secure and automated way of reading back sensitive information like credit card numbers entered by a customer over the phone. The customer inputs the credit card number using a keypad, and then the system converts the numbers into spoken words that are read back to the customer. This reduces the risk of fraud, as the numbers are not being spoken by a human agent who could potentially misuse the information.

B. An AI character in a computer game that speaks audibly to a player

In this scenario, speech synthesis can be used to enhance the gaming experience by providing an interactive and immersive environment. The AI character can be programmed to speak audibly to the player using synthesized speech, creating a more lifelike and engaging game. This is particularly useful in games where the player interacts with characters and needs to receive information or instructions through spoken dialogue.

C. and D. are incorrect answers because they do not involve speech synthesis:

C. Extracting key phrases from the audio recording of a meeting

This scenario requires a speech-to-text solution, not a text-to-speech solution. Speech-to-text converts spoken words into written text, while text-to-speech converts written text into spoken words. Therefore, speech synthesis is not the appropriate solution for this scenario.

D. Generating live captions for a news broadcast

This scenario requires a speech recognition solution that converts spoken words into text captions, not a text-to-speech solution that converts written text into spoken words. Therefore, speech synthesis is not the appropriate solution for this scenario.