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Merge pull request #275391 from MicrosoftDocs/release-build-azure-ai-studio
Release build azure ai studio
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---
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author: eric-urban
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ms.service: azure-ai-services
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ms.date: 5/21/2024
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ms.topic: include
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ms.author: eur
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---
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> [!div class="checklist"]
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> - Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
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> - Some AI services features are free to try in AI Studio. For access to all capabilities described in this article, you need to [connect AI services to your hub in AI Studio](../../../ai-studio/ai-services/connect-ai-services.md#connect-to-ai-services).

articles/ai-services/openai/includes/assistants-ai-studio.md

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author: mrbullwinkle
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---
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[!INCLUDE [Azure AI Studio preview](../../../ai-studio/includes/preview-ai-studio.md)]
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[!INCLUDE [Feature preview](../../../ai-studio/includes/feature-preview.md)]
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## Prerequisites
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1. Sign in to [Azure AI Studio](https://ai.azure.com).
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1. Go to your project or [create a new project](../../../ai-studio//how-to/create-projects.md) in Azure AI Studio.
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1. From the Azure AI Studio Home page, select **Build** > **Playground**.
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1. From your project overview, select **Assistants**, located under **Project playground**.
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The Assistants playground allows you to explore, prototype, and test AI Assistants without needing to run any code. From this page, you can quickly iterate and experiment with new ideas.
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| **Code interpreter** | Code interpreter provides access to a sandboxed Python environment that can be used to allow the model to test and execute code. |
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| **Files** | You can upload up to 20 files, with a max file size of 512 MB to use with tools. Not used in this quickstart. |
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1. Select your deployment from the **Deployments** dropdown.
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1. Select **Assistants** from the **Mode** dropdown menu.
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:::image type="content" source="../media/quickstarts/assistants-ai-studio-playground.png" alt-text="Screenshot of the Assistant configuration screen without all the values filled in." lightbox="../media/quickstarts/assistants-ai-studio-playground.png":::
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## Create your first Assistant
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1. Select your deployment from the **Deployments** dropdown.
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1. From the Assistant setup drop-down, select **New**.
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2. Give your Assistant a name.
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3. Enter the following instructions "You are an AI assistant that can write code to help answer math questions"
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4. Select a model deployment. We recommend testing with one of the latest gpt-4 models.
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5. Select the toggle enabling code interpreter.
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6. Select Save.
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1. Give your Assistant a name.
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1. Enter the following instructions "You are an AI assistant that can write code to help answer math questions"
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1. Select a model deployment. We recommend testing with one of the latest gpt-4 models.
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1. Select the toggle enabling code interpreter.
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1. Select Save.
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:::image type="content" source="../media/quickstarts/assistant-configuration.png" alt-text="Screenshot of the assistant with configuration details entered." lightbox="../media/quickstarts/assistant-configuration.png":::
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articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

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ms.custom: include
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---
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[!INCLUDE [Azure AI Studio preview](../../../ai-studio/includes/preview-ai-studio.md)]
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[!INCLUDE [Feature preview](../../../ai-studio/includes/feature-preview.md)]
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## Prerequisites
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To fine-tune an Azure OpenAI model in an existing Azure AI Studio project, follow these steps:
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1. Sign in to [Azure AI Studio](https://ai.azure.com) and select your project from the **Build** page. If you don't have a project already, first create a project.
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1. Sign in to [Azure AI Studio](https://ai.azure.com) and select your project. If you don't have a project already, first [create a project](../../../ai-studio/how-to/create-projects.md).
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1. From the collapsible left menu, select **Fine-tuning** > **+ Fine-tune model**.
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:::image type="content" source="../media/fine-tuning/ai-studio/fine-tune-gpt-35-turbo.png" alt-text="Screenshot of option to select a model to fine-tune." lightbox="../media/fine-tuning/ai-studio/fine-tune-gpt-35-turbo.png":::
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1. For `gpt-35-turbo` we have different versions available for fine-tuning, so please choose which version you'd like to fine-tune. We will choose (0125).
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1. For `gpt-35-turbo` we have different versions available for fine-tuning, so please choose which version you'd like to fine-tune. We will choose (0301).
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1. We also recommend including the `suffix` parameter to make it easier to distinguish between different iterations of your fine-tuned model. `suffix` takes a string, and is set to identify the fine-tuned model. With the OpenAI Python API a string of up to 18 characters is supported that will be added to your fine-tuned model name.
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## Check the status of your fine-tuned model
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After you submit your fine-tuning job, you see a page with details about your fine-tuned model. You can find the status and more information about your fine-tuned model on the **Build** > **Fine-tuning** > **Models** page in Azure AI Studio.
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:::image type="content" source="../media/fine-tuning/ai-studio/fine-tune-details.png" alt-text="Screenshot of the page with the fine-tuned model status and other information." lightbox="../media/fine-tuning/ai-studio/fine-tune-details.png":::
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After you submit your fine-tuning job, you see a page with details about your fine-tuned model. You can find the status and more information about your fine-tuned model on the **Fine-tuning** > **Models** page in Azure AI Studio.
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Your job might be queued behind other jobs on the system. Training your model can take minutes or hours depending on the model and dataset size.
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articles/ai-services/speech-service/get-started-speech-to-text.md

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---
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title: "Speech to text quickstart - Speech service"
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title: "Speech to text quickstart"
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titleSuffix: Azure AI services
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description: In this quickstart, learn how to use the Speech service to convert speech to text with recognition from a microphone or .wav file.
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description: In this quickstart, learn how to use the Speech service for real-time speech to text conversion.
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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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ms.topic: quickstart
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ms.date: 01/30/2024
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ms.date: 5/21/2024
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ms.author: eur
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ms.reviewer: eur
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ms.custom: devx-track-python, devx-track-js, devx-track-csharp, mode-other, devx-track-extended-java, devx-track-go
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zone_pivot_groups: programming-languages-speech-services
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keywords: speech to text, speech to text software
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zone_pivot_groups: programming-languages-speech-services-studio
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#customer intent: As a developer, I want to use Speech services to covert speech to text, from either a microphone or a file using my choice of technology.
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# Quickstart: Recognize and convert speech to text
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::: zone pivot="ai-studio"
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[!INCLUDE [AI Studio include](includes/quickstarts/speech-to-text-basics/ai-studio.md)]
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::: zone-end
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::: zone pivot="programming-language-csharp"
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[!INCLUDE [C# include](includes/quickstarts/speech-to-text-basics/csharp.md)]
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[!INCLUDE [JavaScript include](includes/quickstarts/speech-to-text-basics/javascript.md)]
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::: zone-end
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::: zone pivot="programming-language-objectivec"
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[!INCLUDE [ObjectiveC include](includes/quickstarts/speech-to-text-basics/objectivec.md)]
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::: zone pivot="programming-language-python"
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[!INCLUDE [Python include](./includes/quickstarts/speech-to-text-basics/python.md)]
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::: zone pivot="programming-language-swift"
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[!INCLUDE [Swift include](includes/quickstarts/speech-to-text-basics/swift.md)]
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::: zone-end
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::: zone pivot="programming-language-python"
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[!INCLUDE [Python include](./includes/quickstarts/speech-to-text-basics/python.md)]
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::: zone-end
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[!INCLUDE [REST include](includes/quickstarts/speech-to-text-basics/rest.md)]
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::: zone-end

articles/ai-services/speech-service/how-to-pronunciation-assessment.md

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## Related content
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- Learn about quality [benchmark](https://aka.ms/pronunciationassessment/techblog).
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- Try [pronunciation assessment in Speech Studio](pronunciation-assessment-tool.md).
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- Try [pronunciation assessment in the studio](pronunciation-assessment-tool.md).
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- Check out an easy-to-deploy Pronunciation Assessment [demo](https://github.com/Azure-Samples/Cognitive-Speech-TTS/tree/master/PronunciationAssessment/BrowserJS).
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- Watch the [video demo](https://www.youtube.com/watch?v=NQi4mBiNNTE) of pronunciation assessment.
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---
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author: eric-urban
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ms.service: azure-ai-speech
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ms.topic: include
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ms.date: 5/21/2024
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ms.author: eur
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---
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[!INCLUDE [Feature preview](../../../../../ai-studio/includes/feature-preview.md)]
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In this quickstart, you try real-time speech to text in [Azure AI Studio](https://ai.azure.com).
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## Prerequisites
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[!INCLUDE [Prerequisites](../../../../includes/quickstarts/ai-studio-prerequisites.md)]
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## Try real-time speech to text
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1. Go to the **Home** page in [AI Studio](https://ai.azure.com/) and then select **AI Services** from the left pane.
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:::image type="content" source="../../../media/ai-studio/ai-services-home.png" alt-text="Screenshot of the AI Services page in Azure AI Studio." lightbox="../../../media/ai-studio/ai-services-home.png":::
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1. Select **Speech** from the list of AI services.
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1. Select **Real-time speech to text**.
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-select.png" alt-text="Screenshot of the option to select the real-time speech to text tile." lightbox="../../../media/ai-studio/real-time-speech-to-text-select.png":::
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1. In the **Try it out** section, select your hub's AI services connection. For more information about AI services connections, see [connect AI services to your hub in AI Studio](../../../../../ai-studio/ai-services/connect-ai-services.md#connect-to-ai-services).
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-connect.png" alt-text="Screenshot of the option to select an AI services connection and other settings." lightbox="../../../media/ai-studio/real-time-speech-to-text-connect.png":::
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1. Select **Show advanced options** to configure speech to text options such as:
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- **Language identification**: Used to identify languages spoken in audio when compared against a list of supported languages. For more information about language identification options such as at-start and continuous recognition, see [Language identification](../../../language-identification.md).
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- **Speaker diarization**: Used to identify and separate speakers in audio. Diarization distinguishes between the different speakers who participate in the conversation. The Speech service provides information about which speaker was speaking a particular part of transcribed speech. For more information about speaker diarization, see the [real-time speech to text with speaker diarization](../../../get-started-stt-diarization.md) quickstart.
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- **Custom endpoint**: Use a deployed model from custom speech to improve recognition accuracy. To use Microsoft's baseline model, leave this set to None. For more information about custom speech, see [Custom Speech](../../../custom-speech-overview.md).
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- **Output format**: Choose between simple and detailed output formats. Simple output includes display format and timestamps. Detailed output includes more formats (such as display, lexical, ITN, and masked ITN), timestamps, and N-best lists.
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- **Phrase list**: Improve transcription accuracy by providing a list of known phrases, such as names of people or specific locations. Use commas or semicolons to separate each value in the phrase list. For more information about phrase lists, see [Phrase lists](../../../improve-accuracy-phrase-list.md).
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1. Select an audio file to upload, or record audio in real-time. In this example, we use the `Call1_separated_16k_health_insurance.wav` file that's available in the [Speech SDK repository on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/raw/master/scenarios/call-center/sampledata/Call1_separated_16k_health_insurance.wav). You can download the file or use your own audio file.
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-audio.png" alt-text="Screenshot of the option to select an audio file or speak into a microphone." lightbox="../../../media/ai-studio/real-time-speech-to-text-audio.png":::
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1. You can view the real-time speech to text results in the **Results** section.
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-results.png" alt-text="Screenshot of the real-time transcription results in Azure AI Studio." lightbox="../../../media/ai-studio/real-time-speech-to-text-results.png":::
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articles/ai-services/speech-service/includes/quickstarts/speech-to-text-basics/intro.md

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In this quickstart, you create and run an application to recognize and transcribe speech to text in real-time.
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> [!TIP]
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> You can try real-time speech to text in [Speech Studio](https://aka.ms/speechstudio/speechtotexttool) without signing up or writing any code.
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To instead transcribe audio files asynchronously, see [What is batch transcription](~/articles/ai-services/speech-service/batch-transcription.md). If you're not sure which speech to text solution is right for you, see [What is speech to text?](~/articles/ai-services/speech-service/speech-to-text.md)

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