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Azure Custom Speech Service

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Enhancing Speech Recognition with Azure Custom Speech Service

What is custom speech?

Custom Speech in Azure allows users to enhance the accuracy of speech recognition for their applications and products by creating custom speech models. These models can be utilized for real-time speech to text, speech translation, and batch transcription. By training a custom model, users can improve recognition of domain-specific vocabulary and audio conditions unique to their application.

How does it work?

To leverage Custom Speech, users can upload their own data, test and train a custom model, compare accuracy between models, and deploy the model to a custom endpoint. The process involves creating a project, choosing a model, uploading test data, training the model with written transcripts and audio data, testing recognition quality, and finally deploying the model to a custom endpoint.

Choose your model

Custom Speech offers different approaches for using models. Users can opt for the base model, which provides accurate speech recognition for various scenarios and can be augmented with domain-specific vocabulary. Multiple custom models can be used for different areas within a domain with specific vocabularies. It is recommended to analyze the transcription from the base model and compare it with human-generated transcripts to determine if training a custom model is necessary.

Model stability and lifecycle

Once deployed to an endpoint, a base model or custom model in Custom Speech remains fixed until an update is decided. The accuracy and quality of speech recognition remain consistent even when a new base model is released. Users can utilize the model for a limited time, whether it is a trained custom model or a snapshot of a base model, until they choose to switch to a newer model.

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Empowering Applications with Azure Custom Speech Service

Introduction to Speech Studio

Azure Custom Speech Service offers Speech Studio, a collection of UI-based tools designed to help users build and seamlessly integrate Azure AI Speech service features into their applications. By utilizing a no-code approach, developers can create projects within Speech Studio and reference these assets in their applications using the Speech SDK, Speech CLI, or REST APIs.

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Azure Custom Speech Service Lifecycle Management

Understanding the Model Lifecycle

The Azure Custom Speech Service offers a model lifecycle management system that ensures optimal performance and accuracy. When deploying a custom speech model, it is essential to understand the key terms like training, transcription, and endpoints. Training involves customizing a base model to your specific domain using text and/or audio data. Transcription is the process of converting speech into text using a model, and endpoints are specific deployments of models that only you can access.

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Empower Your Learning Journey with Azure Custom Speech Service

Personalized Learning Experience

Azure Custom Speech Service offers a personalized learning experience by utilizing AI to create tailored learning plans based on individual needs. This tailored approach ensures that users receive the most relevant content to enhance their skills and knowledge. Whether you are a beginner or an expert, the self-directed nature of this service allows you to progress at your own pace with confidence.

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Azure Custom Speech Service: Charge for Adaptation

Update Base Path in Code

When migrating from version 3.1 to 3.2 of the Speech to text REST API, you must update the base path in your code from /speechtotext/v3.1 to /speechtotext/v3.2. This ensures correct access to the required models and functionalities in the eastus region or any specified region.

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Empower Your Applications with Azure Custom Speech Service

Introduction to the Speech Service

The Azure Custom Speech Service offers comprehensive capabilities for speech-to-text and text-to-speech functionalities, providing high accuracy transcription, natural-sounding voice generation, language translation, and speaker recognition. With a Speech resource, users can create custom voices, expand vocabulary, and build personalized models tailored to their unique needs. Whether in the cloud or at the edge, Speech can easily integrate into applications, tools, and devices using Speech CLI, Speech SDK, and REST APIs. The service supports multiple languages, regions, and pricing options, making it accessible for a wide range of users.

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