Welcome to Knowledge Base!

KB at your finger tips

Book a Meeting to Avail the Services of Azure Custom Speech Service overtime

This is one stop global knowledge base where you can learn about all the products, solutions and support features.

Categories
All

Azure Custom Speech Service

(Go to Product)

Evaluating Pronunciation with Azure Custom Speech Service

Using Pronunciation Assessment in Streaming Mode

Pronunciation assessment in Azure's Custom Speech Service supports uninterrupted streaming mode, allowing for unlimited recording time through the Speech SDK. This feature enables users to receive real-time evaluation on pronunciation accuracy and fluency without interruptions. By continuously recording audio, users can conveniently pause and resume the evaluation process as needed. Additionally, for detailed information on available languages and regions supported by the pronunciation assessment feature, refer to the documentation.

Setting Configuration Parameters for Pronunciation Assessment

When using the SpeechRecognizer in Azure's Custom Speech Service, users can specify the language for pronunciation assessment to enhance language learning or practice. By default, the locale is set to en-US, but users can customize this setting based on their language preferences. To specify the learning language for pronunciation assessment, users can refer to sample code provided in the documentation. Furthermore, users must create a PronunciationAssessmentConfig object to enable prosody and content assessment, providing a comprehensive evaluation of speech pronunciation.

Key Configuration Parameters for Pronunciation Assessment

Azure's Custom Speech Service offers various key configuration parameters for pronunciation assessment, including ReferenceText, GradingSystem, Granularity, and EnableMiscue. The ReferenceText parameter allows users to evaluate pronunciation against a specific text, while the GradingSystem parameter defines the scoring calibration system. Additionally, the Granularity parameter determines the evaluation level granularity, and the EnableMiscue parameter enables miscue calculation for assessing pronunciation accuracy. By customizing these parameters, users can tailor the pronunciation assessment to their specific learning or evaluation needs.

Configuration Methods for PronunciationAssessmentConfig Object

Azure's Custom Speech Service provides optional methods for setting configuration parameters within the PronunciationAssessmentConfig object. Users can enable prosody assessment to evaluate aspects like stress, intonation, speaking speed, and rhythm, providing insights into speech naturalness and expressiveness. Furthermore, users can enable content assessment with a specific topic description to enhance the assessment's understanding of the spoken content. By leveraging these configuration methods, users can enhance their pronunciation evaluation experience and tailor assessments to their language learning requirements.


Stay Ahead in Today’s Competitive Market!
Unlock your company’s full potential with a Virtual Delivery Center (VDC). Gain specialized expertise, drive seamless operations, and scale effortlessly for long-term success.

Book a Meeting to Avail the Services of Azure Custom Speech Serviceovertime

Azure Custom Speech Service: Empowering Batch Transcription for Audio Data Handling

Understanding Batch Transcription

Batch transcription is a process that allows for the transcription of a large volume of audio data stored in Azure. This functionality is supported by both the Speech to text REST API and Speech CLI, enabling efficient handling of numerous audio files for transcription purposes.

Read article

Enhancing Text Clarity with Azure Custom Speech Service's Display Text Formatting

Inverse Text Normalization (ITN)

Inverse Text Normalization (ITN) in Azure Custom Speech Service converts spoken words into their written form, ensuring clear and accurate transcriptions. Supported formats include dates, times, decimals, currencies, addresses, emails, and phone numbers. By automatically applying ITN rules, the service enhances readability and ensures the expected text formatting.

Read article

Empowering Communication with Azure Custom Speech Service

Core Features of Azure Custom Speech Service

Azure Custom Speech Service offers advanced speech to text capabilities, supporting real-time and batch transcription for converting audio streams into text. The core features include real-time transcription, fast transcription for quick results, batch transcription for processing large volumes of audio, and custom speech models for enhanced accuracy in specific domains.

Read article

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.

Read article

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.

Read article