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Learn how to develop speech-enabled applications by using the Speech service.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.
Prerequisites:
Before starting this learning path, you should:
The Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text-to-speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.
Learning objectives:
In this module, you’ll learn how to:
Prerequisites:
Before starting this module, you should:
Q1. What information do you need from your Speech service Azure resource to consume it using the Speech SDK?
Q2. Which object should you use to specify that the speech input to be transcribed to text is in an audio file?
Q3. How can you change the voice used in speech synthesis?
Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.
Learning objectives:
In this module, you will learn how to:
Prerequisites:
Before starting this module, you should:
Q1. Which SDK object should you use to specify the language(s) into which you want speech translated?
Q2. Which SDK object should you use as a proxy for the Translation API of Speech service?
Q3. When translating speech, in which cases can you can use the Synthesizing event to synthesize the translations and speech?
I hope this Process and Translate Speech with Azure Cognitive Speech Services Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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