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

Azure Custom Speech Service

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.

Capitalization

Azure Custom Speech Service's capitalization feature recognizes proper nouns and words at the beginning of sentences for improved readability and grammar. This automated process enhances the overall quality of transcribed text by ensuring correct capitalization where necessary.

Disfluency Removal

The Disfluency Removal functionality of Azure Custom Speech Service identifies and eliminates stuttering, duplicate words, and filler words like 'uhm' or 'uh' from transcriptions. This feature is particularly useful for live unscripted speeches, providing clean and coherent text output for later reference.

Punctuation

Azure Custom Speech Service automatically punctuates transcribed text to enhance clarity and readability. This feature is valuable for call or conversation transcriptions, improving the overall comprehension and flow of the written content. Additionally, users can configure explicit punctuation recognition for more precise text formatting.

Profanity Filter

Azure Custom Speech Service includes a Profanity Filter that allows users to specify whether to mask, remove, or display profanity in transcribed text. With options to mask profane words with asterisks, include them verbatim, or completely remove them, users can tailor the content based on the desired level of language appropriateness. Microsoft also reserves the right to mask or remove inappropriate words, ensuring a cleaner speech recognition output.

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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.

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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.

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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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Azure Custom Speech Service