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Azure Custom Speech Service

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Azure Custom Speech Service: Deploying Models for Custom Speech Recognition

Adding a Deployment Endpoint

To deploy an endpoint for a custom speech model, sign in to the Azure AI Foundry portal and navigate to Fine-tuning. Select the AI Service fine-tuning option and choose the custom model you wish to manage. Once you are satisfied with the test results, go to the left menu and select Deploy models, then click on + Deploy model. In the Deploy a new model wizard, select the model you want to deploy, provide a name and description for the deployment, agree to the terms of use, and click Deploy.

Changing Model and Redeploying Endpoint

You can update an endpoint to use a different model from the same Speech resource. It is crucial to update the endpoint's model before it expires. The redeployment process may take a few minutes to complete. Meanwhile, your endpoint will continue to use the previous model without any service interruption.

Viewing Logging Data

If you configured logging data while creating the endpoint, it is available for export. The logging data remains on Microsoft-owned storage for 30 days before it is deleted. If your Azure AI services subscription is linked to your own storage account, the logging data will not be automatically deleted.

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Empower Your Solutions with Azure Custom Speech Service Training

Comprehensive Learning Paths

Azure Custom Speech Service Training offers comprehensive learning paths designed to help users develop a deep understanding of speech-to-text technologies. These paths cover various aspects of the Custom Speech Service, from basics to advanced topics, ensuring a well-rounded learning experience for individuals at all skill levels. Users can follow structured modules that provide step-by-step guidance, allowing them to grasp the intricacies of speech recognition and customizing the service to suit their specific needs.

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Empowering Your AI Journey with Azure Custom Speech Service

Personalized Learning Plans with AI

Azure Custom Speech Service enables you to create a personalized learning plan tailored to your technical goals. By sharing your aspirations with us, whether it's mastering AI skills, tackling real-world tech challenges, strategizing your Azure environment, or advancing your career, we can develop a plan that meets your skill requirements and timeframe. This customized approach streamlines your learning journey, ensuring you focus on the areas that matter most to you.

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Azure Custom Speech Service: An In-Depth Guide to Speech to Text FAQ

Difference Between Base Model and Custom Speech to Text Model

A base speech to text model is pre-trained with Microsoft-owned data and deployed in the cloud. Custom models are tailored to specific environments with unique ambient noise or language requirements. Custom models are ideal for settings like factory floors, cars, or noisy streets needing adapted acoustic models, and for domains like biology, physics, or custom acronyms requiring specific language models. Training a custom model involves enhancing recognition by incorporating domain-specific terms and phrases.

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Enhancing Your Speech Applications with Azure Custom Speech Service

Introduction to Azure Custom Speech Service

Azure Custom Speech Service offers a powerful solution that allows your applications to convert audio to text, perform speech translation, and transform text into speech. With support in multiple regions, this service provides unique endpoints for both the Speech SDK and REST APIs, enhancing the flexibility and reach of your speech-related functionalities.

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Transforming Speech to Text with Azure Custom Speech Service

Introduction to Azure Custom Speech Service

Azure Custom Speech Service is a powerful tool provided by Microsoft Azure that allows users to convert spoken language into written text efficiently. This technology is vital for various applications, including transcription services, speech recognition, and much more. By utilizing this service, businesses and developers can enhance their products and services to cater to a broader audience, providing accessibility and convenience.

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