Designing and Implementing a Microsoft Azure AI Solution

Utilizing LUIS for Intent Recognition with Speech Service in Azure

Question

You can utilize the LUIS service for intent recognition with Speech service in Azure.

This will provide you with a capability to recognize in a recorded speech, as what a user wants to do.

The intent can be further utilized to perform an action or offer services.

Review the steps below and put them in order of execution to recognize speech and identify intents from the speech received through a microphone: Step A: Recognize an intent Step B: Initialize an Intent Recognizer Step C: Create a Speech configuration Step D: Create a LUIS application Step E: Add LUIS model and intents Step F: Inspect Intent Recognition Results.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: B

Here is the correct order or execution steps: Create a LUIS application.

Create a Speech configuration.

Initialize an Intent Recognizer.

Add LUIS model and intents.

Recognize an intent.

Inspect Intent Recognition Results.

Given the order of execution steps in explanation above,

Option A is incorrect

Given the order of execution steps in explanation above, Option B is correct

Given the order of execution steps in explanation above, Option C is incorrect.

Given the order of execution steps in explanation above, Option D is incorrect.

Reference:

To learn more about intent recognizer in speech service, use the link given below:

The correct answer is option D: Step A -> Step C -> Step E -> Step B -> Step D -> Step F.

Here's a detailed explanation of each step:

Step A: Recognize an intent The first step is to recognize an intent, which is what the user wants to do. This is achieved using the Language Understanding Intelligent Service (LUIS) from Azure, which is a natural language processing service that enables you to create custom machine learning models for intent recognition. Once the intent is recognized, it can be used to perform a specific action or offer services.

Step C: Create a Speech configuration The second step is to create a Speech configuration, which is used to specify the properties of the speech recognition service, such as the language to be used and the type of audio input (e.g., microphone). This is achieved using the Speech SDK from Azure, which provides a set of libraries and tools for speech recognition.

Step E: Add LUIS model and intents The third step is to create a LUIS application, which is a custom machine learning model that is trained to recognize intents from speech input. Once the LUIS application is created, you can add the LUIS model and intents to your Speech configuration. This enables the Speech service to send the speech input to the LUIS application for intent recognition.

Step B: Initialize an Intent Recognizer The fourth step is to initialize an Intent Recognizer, which is a component of the Speech SDK that is used to recognize intents from speech input. The Intent Recognizer uses the Speech configuration and the LUIS model to perform intent recognition.

Step D: Create a LUIS application The fifth step is to create a LUIS application, which is a custom machine learning model that is trained to recognize intents from speech input. This step should actually come before Step E, as you need to create the LUIS application before you can add the LUIS model and intents to your Speech configuration.

Step F: Inspect Intent Recognition Results The final step is to inspect the intent recognition results, which provide information about the recognized intent and any additional entities (e.g., specific objects or actions) that were detected in the speech input. You can use these results to perform the appropriate action or offer the appropriate services based on the user's intent.