Speech to Text Application Development Quiz
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Questions and Answers

What is the purpose of creating an automated public address system for a train station?

  • To assist customers in finding their way
  • To read recipe instructions aloud
  • To provide real-time information to passengers (correct)
  • To transcribe telephone calls
  • If you need an app to read recipe instructions aloud for users with reduced vision, which service should you use?

  • Text Analytics
  • Translator Text
  • Speech (correct)
  • Language Understanding (LUIS)
  • In the context of cognitive services, what type of AI workload should be used to detect when a customer is upset based on chatbot interactions?

  • Semantic segmentation
  • Transcript creation
  • Anomaly detection (correct)
  • Speech recognition
  • Which service would be most appropriate for creating a transcript of a telephone call or meeting?

    <p>Translator Text</p> Signup and view all the answers

    If you want to build an app that understands and interprets language, which cognitive service should you choose?

    <p>Language Understanding (LUIS)</p> Signup and view all the answers

    Which cognitive service should you select to analyze and interpret large volumes of text from various sources?

    <p>Text Analytics</p> Signup and view all the answers

    What type of service can be integrated with Azure bot service to provide powerful AI capabilities?

    <p>Azure Cognitive Services</p> Signup and view all the answers

    How does Azure bot service engage with customers?

    <p>In a conversational manner</p> Signup and view all the answers

    What does the QnA Maker service create?

    <p>Knowledge base</p> Signup and view all the answers

    To improve the relevance of responses over time, which technique should be used according to the provided reference?

    <p>Active learning</p> Signup and view all the answers

    When developing a conversational AI solution for multiple channels, which service should be utilized?

    <p>Azure Bot Service</p> Signup and view all the answers

    What specific service is recommended for a conversational AI solution that communicates with users through email, Microsoft Teams, and webchat?

    <p>Azure Bot Service</p> Signup and view all the answers

    What are two popular tools to create a bot that answers user questions?

    <p>QnA Maker and Azure Bot Service</p> Signup and view all the answers

    Which scenario is an example of a conversational AI workload?

    <p>A smart device answering weather questions</p> Signup and view all the answers

    In the exhibited process, what type of AI solution is shown?

    <p>Chatbot</p> Signup and view all the answers

    Which service should you use to develop a web-based AI solution for a customer support system?

    <p>Azure Bot Service</p> Signup and view all the answers

    What type of system is NOT an example of conversational AI workload?

    <p>An assembly line machinery customizing products</p> Signup and view all the answers

    Which pair of services are typically used together to create a chatbot?

    <p>QnA Maker and Azure Bot Service</p> Signup and view all the answers

    Study Notes

    Automated Public Address System

    • Enhances communication in train stations for safety and announcements.
    • Ensures timely information delivery to passengers during disruptions or emergencies.

    App for Recipe Instructions

    • Use a text-to-speech service to read recipe instructions aloud for visually impaired users.

    Cognitive Services for Emotion Detection

    • Implement natural language processing (NLP) AI workloads to analyze chatbot interactions for detecting customer emotions, particularly upset sentiments.

    Transcript Creation Services

    • Utilize speech-to-text services for accurate transcripts of telephone calls and meetings.

    Language Understanding Cognitive Service

    • Choose natural language understanding (NLU) services to build apps that understand and interpret human language.

    Text Analysis Cognitive Service

    • Opt for text analytics services to analyze and interpret large volumes of text from various sources.

    AI Integration with Azure Bot Service

    • Incorporate machine learning services to enhance Azure Bot Service with powerful AI capabilities.

    Customer Engagement via Azure Bot Service

    • Azure Bot Service engages customers through multiple channels, providing consistent service across different platforms.

    QnA Maker Service Functionality

    • Creates a knowledge base from FAQs, allowing bots to respond accurately to user inquiries.

    Improving Response Relevance

    • Continuously apply machine learning techniques to update and enhance relevance of responses over time.

    Conversational AI Solution Development

    • Utilize the Azure Bot Framework for developing a conversational AI solution optimized for multiple channels.

    Service for Multi-channel Communication

    • Select a combination of Azure Bot Service and other cognitive services for email, Microsoft Teams, and webchat interactions.

    Tools for Creating User Question Answering Bots

    • Popular tools include the Microsoft Bot Framework and QnA Maker for developing bots that answer user questions.

    Example of Conversational AI Workload

    • Scenarios where users interact with bots for customer support or information inquiries demonstrate conversational AI workloads.

    Exhibited AI Solution

    • The showcased process represents a dialogue management solution within conversational AI.

    Web-based AI Customer Support Development

    • Use cloud-based AI services that allow for scalable customer support systems as a web application.

    Non-Example of Conversational AI Workload

    • Systems that do not allow for interactive, user-initiated dialogue are not considered conversational AI workloads.

    Pair of Services for Chatbot Creation

    • Typically, the combination of Azure Bot Service and Cognitive Services is used to develop effective chatbots.

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    Description

    Test your knowledge on developing speech to text applications, covering topics such as creating an automated public address system for a train station, transcribing telephone calls or meetings, and utilizing cloud services like Microsoft Azure Cognitive Services.

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