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AI Foundry portal UI
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articles/ai-services/speech-service/custom-speech-ai-studio.md

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title: Customize a speech model with fine-tuning in Azure AI Foundry portal
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titleSuffix: Azure AI services
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description: Learn about how to customize a speech model with fine-tuning in Azure AI Foundry portal.
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description: Learn about how to customize a speech model with fine-tuning in the Azure AI Foundry portal.
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author: eric-urban
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manager: nitinme
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ms.service: azure-ai-speech
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With custom speech, you can enhance speech recognition accuracy for your applications by using a custom model for real-time speech to text, speech translation, and batch transcription. The base model, trained with Microsoft-owned data, handles common spoken language well, but a custom model can improve domain-specific vocabulary and audio conditions by providing text and audio data for training. Additionally, you can train the model with structured text for custom pronunciations, display text formatting, and profanity filtering.
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> [!TIP]
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> You can bring your custom speech models from [Speech Studio](https://speech.microsoft.com) to [AI Foundry](https://ai.azure.com). In AI Foundry, you can pick up where you left off by connecting to your existing Speech resource. For more information about connecting to an existing Speech resource, see [Connect to an existing Speech resource](../../ai-studio/ai-services/how-to/connect-ai-services.md#connect-azure-ai-services-after-you-create-a-project).
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> You can bring your custom speech models from [Speech Studio](https://speech.microsoft.com) to [AI Foundry portal](https://ai.azure.com). In AI Foundry, you can pick up where you left off by connecting to your existing Speech resource. For more information about connecting to an existing Speech resource, see [Connect to an existing Speech resource](../../ai-studio/ai-services/how-to/connect-ai-services.md#connect-azure-ai-services-after-you-create-a-project).
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In [AI Foundry](https://ai.azure.com), you create a custom speech model by fine-tuning an Azure AI Speech base model with your own data. You can upload your data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint.
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zone-pivots/zone-pivot-groups.yml

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prompt: Choose your preferred usage method
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pivots:
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- id: programming-language-ai-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-csharp
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title: C#
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- id: programming-language-javascript
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prompt: Choose a programming language or tool
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pivots:
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- id: ai-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-csharp
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title: C#
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- id: programming-language-cpp
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prompt: Choose your preferred usage method
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pivots:
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- id: programming-language-ai-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-python
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title: Python
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- id: rest-api
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- id: programming-language-studio
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title: Studio
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- id: programming-language-ai-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-python
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title: Python
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- id: rest-api
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prompt: Choose your preferred fine-tuning method
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pivots:
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- id: programming-language-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-python
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title: Python
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- id: rest-api
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prompt: Choose your preferred usage method
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pivots:
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- id: programming-language-ai-studio
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title: AI Studio
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title: AI Foundry portal
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- id: programming-language-javascript
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title: JavaScript
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# owner: sgilley

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