Learn the essential steps to implement Text-to-Speech with Azure AI for the AI-102 certification. Get expert tips on setting up Azure Speech SDK and using subscription keys.
Table of Contents
Question
Your organization, Xerigon Inc., is developing a language learning application using Python, and one of the key features you want to implement is text to speech (TTS). This feature will allow users to listen to the correct pronunciation of words and phrases. You have already created an Azure Speech resource to enable this functionality.
After creating the Azure Speech resource, what is the next step you should take to implement TTS?
A. Set up an Azure Cognitive Search resource for indexing the text data.
B. Write Python code to analyze the sentiment of the text before converting it to speech.
C. Install the Speech SDK for Python in your development environment.
D. Get the subscription key and service region.
Answer
D. Get the subscription key and service region.
Explanation
After you have created the Azure Speech resource, the next step you would take to implement text to speech (TTS) is to get the subscription key and service region. These are essential credentials that authenticate your Python application with the Azure Speech service. Without these credentials, you will not be able to access the Speech service and implement TTS functionality. Once you have the key for the Speech resource, you would set the new environment variable on the local machine that runs the application. For Windows, you would use the below syntax.
setx SPEECH_KEY your-key setx SPEECH_REGION your-region
Installing the Speech SDK for Python in your development environment is not the next step in the given scenario. Installing the Speech SDK is necessary for implementing TTS functionality in Python. However, before installing the SDK, you must first obtain the subscription key and service region to authenticate your application with Azure.
Setting up an Azure Cognitive Search resource for indexing the text data is not the next step in the given scenario. Azure Cognitive Search is not related to TTS functionality. It is used for creating searchable indexes from large datasets, which is different from converting text to speech. This step is irrelevant for implementing TTS in your application.
Writing Python code to analyze the sentiment of the text before converting it to speech is not the next step in the given scenario. Sentiment analysis is a natural language processing task that assesses the emotional tone of text. While it may be useful in some applications, it is not necessary for converting text to speech. The next step after creating the Speech resource would focus on enabling TTS functionality, not analyzing sentiment.
Microsoft Azure AI Engineer Associate AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Engineer Associate AI-102 exam and earn Microsoft Azure AI Engineer Associate AI-102 certification.