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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.

Batch Transcription Pricing Update

With the introduction of Speech to text REST API v3.2, there is a new pricing structure for batch transcription services. It's essential to review the updated pricing guide to understand the cost implications of using batch transcription via the latest API version.

Backwards Compatibility Limitations

Avoid using older versions like Speech to text REST API v3.0 or v3.1 to retrieve transcriptions created with v3.2. Such attempts may result in errors indicating version incompatibility. Always ensure compatibility by using API version v3.2 or higher for accessing relevant transcriptions.

Language Identification Modes

In Speech to text REST API v3.2, the LanguageIdentificationMode has been introduced within LanguageIdentificationProperties. It offers two modes, Continuous and Single, for language identification. Continuous identification is set as the default mode, providing flexibility in language identification operations.

Whisper Models Integration

Azure AI Speech now collaborates with OpenAI's Whisper model through Speech to text REST API v3.2. This integration brings advanced capabilities to the API, enabling enhanced speech recognition and transcription services. Explore the Create a batch transcription guide for detailed insights into Whisper model utilization.

Custom Speech Model Training Charges

For custom speech models created post-October 1, 2023, there will be charges for model training. However, models generated before this date incur no training charges. The introduction of the chargedForAdaptation property in version 3.2 enables programmatic verification of model creation dates and associated training costs.


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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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Azure Custom Speech Service: Revolutionizing Speech Recognition with AI

Introduction to Azure Custom Speech Service

Azure Custom Speech Service is a powerful tool offered by Microsoft Azure that allows developers to build customized speech recognition models tailored to their specific needs. With advanced AI capabilities, this service enables businesses to enhance their applications with accurate and reliable speech recognition technology.

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Empowering AI Development with Azure Custom Speech Service

Understanding Generative AI

Generative AI is a type of artificial intelligence that focuses on training models to generate original content based on natural language input. Essentially, it allows users to describe their desired output in everyday language, and the model can then create text, images, code, and more accordingly.

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Optimizing Speech Recognition with Azure Custom Speech Service Data Upload

Introduction to Uploading Datasets

Before fine-tuning or testing your custom speech models, it is crucial to upload training and testing datasets to ensure accurate recognition. Azure Custom Speech Service allows you to seamlessly upload audio or text data for model development and evaluation.

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Enhancing Speech Recognition Accuracy with Azure Custom Speech Service Phrase List

Understanding Phrase List for Improved Recognition

Phrase lists in Azure Custom Speech Service are pre-defined lists of words or phrases that can be provided before speech recognition to enhance accuracy. By adding specific phrases like names, locations, industry-specific terms, or homonyms to the phrase list, users can increase the chances of correct recognition. This feature is particularly useful in scenarios where certain words need special attention or are prone to recognition errors.

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