How to work with Azure Cognitive Service


Microsoft’s Azure cloud platform includes Azure Cognitive Services, a group of machine learning algorithms and APIs. These services are intended to assist programmers in creating intelligent software that can comprehend and react to spoken language, identify and analyze visual cues, and carry out a variety of other cognitive functions. With the emergence of ChatGPT, a product of OpenAi, Microsoft formed a Partnership to further strengthen the capabilities of Azure Cognitive Services and this partnership cost Microsoft about twenty Billion US Dollars birthed what is known today as Azure OpenAi. In this article, you will learn how to work with Azure Cognitive Service. Other articles can be found here: How to use Azure Compute Gallery and Azure Monitor also Azure API Management and Virtual Machine Scale Set also How to install Groovy on Linux and Windows and how to correctly updates Office Online Server.

Azure OpenAI is the combination of the machine learning and artificial intelligence capabilities of OpenAI and Microsoft’s Azure cloud computing platform. Through this collaboration, businesses can achieve, train, and deploy AI models and apps on Azure while accessing the most recent research and development from OpenAI.

This cooperation aims to give clients a user-friendly platform for creating and implementing AI solutions while simultaneously utilizing Azure’s cloud infrastructure’s scalability, security, and dependability.

Components of Azure Cognitive Services

Before diving into the topic “How to work with Azure Cognitive Service” let”s discuss the main components of Azure Cognitive Services are:

Language: APIs for text analytics, emotion analysis, natural language processing, and language comprehension.

Language api

Vision: Face recognition, computer vision, and image and video processing APIs.

vision api

Speech: APIs for speaker identification, speech-to-text conversion, and text-to-speech conversion.

speech api

Decision-making: APIs for suggestions, customization, and decision-making.

decision api

These components may be combined or used separately to create a variety of intelligent applications, such as chatbots, image recognition software, and more.

Demonstration on Azure Cognitive Services

Try out Voice to Text features of Azure Cognitive Services

Step 1. Login to Azure Portal and on the Search resource, service, and docs field type cognitive service.
Step 2. In Cognitive Service, click create in the speech service box

click create on the speech service box

Step 3. fill in your project details and your instance details

Project and instance details

Step 4. Create after reviewing & validation passes


Step 5. Go to Resource to access speech studio


Step 6. From the created speech service, click on Speech studio

speech studio

Step7. In the speech studio, click on try out real-time speech-to-text

real-time speech to text

Step 8. On the page that popped open, record in real-time using the Mic and see it get translated

Test Results

In step 8, we used the microphone to record a random message and the message was translated into a text.

Accessing Azure OpenAI

It is notworthy to state that Azure OpenAi is not available to every customer with a suscription yet

Create Open Ai

However, interested customer can fill the request form so as to be able to use the service
request form

Summary on Azure Cognitive Service

In order to give applications artificial intelligence (AI) features like text analysis, computer vision, and speech recognition, Azure Cognitive Services offers a set of pre-built APIs. On the other side, Azure OpenAI offers a cloud computing environment for executing OpenAI models and creating AI applications that can interact with Azure Cognitive Services.

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