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Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/custom-speech-ai-studio.md
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---
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title: Customize a speech model with fine-tuning in AI Studio
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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 AI Studio.
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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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author: eric-urban
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manager: nitinme
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ms.service: azure-ai-speech
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ms.topic: how-to
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ms.date: 11/19/2024
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ms.author: eur
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#Customer intent: As a developer, I want to learn how to customize a speech model with fine-tuning in AI Studio so that I can deploy a custom model.
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#Customer intent: As a developer, I want to learn how to customize a speech model with fine-tuning in the Azure AI Foundry portal so that I can deploy a custom model.
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---
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# Customize a speech model with fine-tuning in AI Studio
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# Customize a speech model with fine-tuning in the Azure AI Foundry portal
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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 Studio](https://ai.azure.com). In AI Studio, 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](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 Studio](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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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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This article shows you how to use fine-tuning in AI Studio to create a custom speech model. For more information about custom speech, see the [custom speech overview](./custom-speech-overview.md) documentation.
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This article shows you how to use fine-tuning in AI Foundry to create a custom speech model. For more information about custom speech, see the [custom speech overview](./custom-speech-overview.md) documentation.
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## Start fine-tuning a model with your data
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In AI Studio, you can fine-tune some Azure AI services models. For example, you can fine-tune a model for custom speech. Each custom model is specific to a [locale](language-support.md?tabs=stt). For example, you might fine-tune a model for English in the United States.
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In AI Foundry, you can fine-tune some Azure AI services models. For example, you can fine-tune a model for custom speech. Each custom model is specific to a [locale](language-support.md?tabs=stt). For example, you might fine-tune a model for English in the United States.
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1. Go to your AI Studio project. If you need to create a project, see [Create an AI Studio project](../../ai-studio/how-to/create-projects.md).
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1. Go to your AI Foundry project. If you need to create a project, see [Create an AI Foundry project](../../ai-studio/how-to/create-projects.md).
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1. Select **Fine-tuning** from the left pane.
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1. Select **AI Service fine-tuning**.
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:::image type="content" source="./media/ai-studio/custom-speech/new-fine-tune-select-connection.png" alt-text="Screenshot of the page to select the connected service resource that you want to use for fine-tuning." lightbox="./media/ai-studio/custom-speech/new-fine-tune-select-connection.png":::
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In this example, we can choose from the following options:
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-**AI Service**: The Azure AI Services multi-service resource that [came with the AI Studio project](../../ai-studio/ai-services/how-to/connect-ai-services.md#connect-azure-ai-services-when-you-create-a-project-for-the-first-time).
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-**AI Service**: The Azure AI Services multi-service resource that [came with the AI Foundry project](../../ai-studio/ai-services/how-to/connect-ai-services.md#connect-azure-ai-services-when-you-create-a-project-for-the-first-time).
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-**Speech Service**: An Azure AI Speech resource that was [connected after the project was created](../../ai-studio/ai-services/how-to/connect-ai-services.md#connect-azure-ai-services-after-you-create-a-project).
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1. Enter a name and description for the fine-tuning job. Then select **Next**.
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/fast-transcription-create.md
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## Use the fast transcription API
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> [!TIP]
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> Try out fast transcription in [Azure AI Studio](https://aka.ms/fasttranscription/studio).
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> Try out fast transcription in the [Azure AI Foundry portal](https://aka.ms/fasttranscription/studio).
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We learn how to use the fast transcription API (via [Transcriptions - Transcribe](https://go.microsoft.com/fwlink/?linkid=2296107)) with the following scenarios:
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-[Known locale specified](?tabs=locale-specified): Transcribe an audio file with a specified locale. If you know the locale of the audio file, you can specify it to improve transcription accuracy and minimize the latency.
1. Go to your AI Studio project. If you need to create a project, see [Create an AI Studio project](../../../../../ai-studio/how-to/create-projects.md).
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1. Go to your AI Foundry project. If you need to create a project, see [Create an AI Foundry project](../../../../../ai-studio/how-to/create-projects.md).
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1. Select **Playgrounds** from the left pane and then select a playground to use. In this example, select **Try the Speech playground**.
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:::image type="content" source="../../../../../ai-studio/media/ai-services/playgrounds/azure-ai-services-playgrounds.png" alt-text="Screenshot of the project level playgrounds that you can use." lightbox="../../../../../ai-studio/media/ai-services/playgrounds/azure-ai-services-playgrounds.png":::
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1. You can view the real-time transcription at the bottom of the page.
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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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:::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 Foundry." lightbox="../../../media/ai-studio/real-time-speech-to-text-results.png":::
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1. You can select the **JSON** tab to see the JSON output of the transcription. Properties include `Offset`, `Duration`, `RecognitionStatus`, `Display`, `Lexical`, `ITN`, and more.
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-results-json.png" alt-text="Screenshot of the real-time transcription results in JSON format in Azure AI Studio." lightbox="../../../media/ai-studio/real-time-speech-to-text-results-json.png":::
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:::image type="content" source="../../../media/ai-studio/real-time-speech-to-text-results-json.png" alt-text="Screenshot of the real-time transcription results in JSON format in Azure AI Foundry." lightbox="../../../media/ai-studio/real-time-speech-to-text-results-json.png":::
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/includes/release-notes/release-notes-stt.md
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Fast transcription is now available in public preview. Fast transcription allows you to transcribe audio file to text accurately and synchronously, with a high speed factor. It can transcribe audio much faster than the actual audio duration. For more information, see the [fast transcription API guide](../../fast-transcription-create.md).
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> [!TIP]
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> Try out fast transcription in [Azure AI Studio](https://aka.ms/fasttranscription/studio).
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> Try out fast transcription in the [Azure AI Foundry portal](https://aka.ms/fasttranscription/studio).
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/pronunciation-assessment-tool.md
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title: How to use pronunciation assessment in AI Studio
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title: How to use pronunciation assessment in the Azure AI Foundry portal
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titleSuffix: Azure AI services
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description: The pronunciation assessment tool in AI Studio gives you feedback on the accuracy and fluency of your speech, no coding required.
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description: The pronunciation assessment tool in the Azure AI Foundry portal gives you feedback on the accuracy and fluency of your speech, no coding required.
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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: how-to
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ms.date: 9/23/2024
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ms.author: eur
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# Customer intent: As a language learner, I want to use the pronunciation assessment tool in AI Studio to get feedback on my speech.
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# Customer intent: As a language learner, I want to use the pronunciation assessment tool in the Azure AI Foundry portal to get feedback on my speech.
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# Pronunciation assessment in AI Studio
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# Pronunciation assessment in the Azure AI Foundry portal
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> [!NOTE]
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> For information about availability of pronunciation assessment, see [supported languages](language-support.md?tabs=pronunciation-assessment) and [available regions](regions.md#speech-service).
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This article describes how to use the pronunciation assessment tool without writing any code through the [AI Studio](https://ai.azure.com/explore/aiservices/speech/pronunciationassessment). For information about how to integrate pronunciation assessment in your speech applications, see [How to use pronunciation assessment](how-to-pronunciation-assessment.md).
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This article describes how to use the pronunciation assessment tool without writing any code through the [AI Foundry](https://ai.azure.com/explore/aiservices/speech/pronunciationassessment). For information about how to integrate pronunciation assessment in your speech applications, see [How to use pronunciation assessment](how-to-pronunciation-assessment.md).
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## Reading and speaking scenarios
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Follow these steps to assess your pronunciation of the reference text:
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1. Go to **Pronunciation assessment** in the [AI Studio](https://ai.azure.com/explore/aiservices/speech).
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1. Go to **Pronunciation assessment** in the [AI Foundry](https://ai.azure.com/explore/aiservices/speech).
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:::image type="content" source="media/pronunciation-assessment/pronunciation-assessment-select.png" alt-text="Screenshot of how to go to Pronunciation assessment in AI Studio.":::
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:::image type="content" source="media/pronunciation-assessment/pronunciation-assessment-select.png" alt-text="Screenshot of how to go to Pronunciation assessment in AI Foundry.":::
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1. On the Reading tab, choose a supported [language](language-support.md?tabs=pronunciation-assessment) that you want to evaluate the pronunciation.
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If you want to conduct an unscripted assessment, select the Speaking tab. This feature allows you to conduct unscripted assessment without providing reference text in advance. Here's how to proceed:
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1. Go to **Pronunciation assessment** in the [AI Studio](https://ai.azure.com/explore/aiservices/speech).
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1. Go to **Pronunciation assessment** in the [AI Foundry](https://ai.azure.com/explore/aiservices/speech).
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1. On the Speaking tab, choose a supported [language](language-support.md?tabs=pronunciation-assessment) that you want to evaluate the pronunciation.
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- Syllable-level accuracy scores are currently available via the [JSON file](?tabs=json#pronunciation-assessment-results) or [Speech SDK](how-to-pronunciation-assessment.md).
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- At the phoneme level, pronunciation assessment provides accuracy scores of each phoneme, helping learners to better understand the pronunciation details of their speech.
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In addition to the baseline scores of accuracy, fluency, and completeness, the pronunciation assessment feature in the AI Studio includes more comprehensive scores to provide detailed feedback on various aspects of speech performance and understanding. The enhanced scores are as follows: Prosody score, Vocabulary score, Grammar score, and Topic score. These scores offer valuable insights into speech prosody, vocabulary usage, grammar correctness, and topic understanding.
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In addition to the baseline scores of accuracy, fluency, and completeness, the pronunciation assessment feature in the AI Foundry includes more comprehensive scores to provide detailed feedback on various aspects of speech performance and understanding. The enhanced scores are as follows: Prosody score, Vocabulary score, Grammar score, and Topic score. These scores offer valuable insights into speech prosody, vocabulary usage, grammar correctness, and topic understanding.
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:::image type="content" source="media/pronunciation-assessment/speaking-score.png" alt-text="Screenshot of overall pronunciation score and overall content score in AI Studio.":::
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:::image type="content" source="media/pronunciation-assessment/speaking-score.png" alt-text="Screenshot of overall pronunciation score and overall content score in AI Foundry.":::
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At the bottom of the Assessment result, two overall scores are displayed: Pronunciation score and Content score. In the Reading tab, you find the Pronunciation score displayed. In the Speaking tab, both the Pronunciation score and the Content score are displayed.
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## Assessment scores in streaming mode
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Pronunciation assessment supports uninterrupted streaming mode. The AI Studio demo allows for up to 60 minutes of recording in streaming mode for evaluation. As long as you don't press the stop recording button, the evaluation process doesn't finish and you can pause and resume evaluation conveniently.
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Pronunciation assessment supports uninterrupted streaming mode. The AI Foundry demo allows for up to 60 minutes of recording in streaming mode for evaluation. As long as you don't press the stop recording button, the evaluation process doesn't finish and you can pause and resume evaluation conveniently.
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Pronunciation assessment evaluates several aspects of pronunciation. At the bottom of **Assessment result**, you can see **Pronunciation score** as aggregated overall score, which includes 4 sub aspects: **Accuracy score**, **Fluency score**, **Completeness score**, and **Prosody score**. In streaming mode, since the **Accuracy score**, **Fluency score**, and **Prosody score** will vary over time throughout the recording process, we demonstrate an approach in AI Studio to display approximate overall score incrementally before the end of the evaluation, which weighted only with Accuracy score, Fluency score, and Prosody score. The **Completeness score** is only calculated at the end of the evaluation after you press the stop button, so the final pronunciation overall score is aggregated from **Accuracy score**, **Fluency score**, **Completeness score**, and **Prosody score** with weight.
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Pronunciation assessment evaluates several aspects of pronunciation. At the bottom of **Assessment result**, you can see **Pronunciation score** as aggregated overall score, which includes 4 sub aspects: **Accuracy score**, **Fluency score**, **Completeness score**, and **Prosody score**. In streaming mode, since the **Accuracy score**, **Fluency score**, and **Prosody score** will vary over time throughout the recording process, we demonstrate an approach in AI Foundry to display approximate overall score incrementally before the end of the evaluation, which weighted only with Accuracy score, Fluency score, and Prosody score. The **Completeness score** is only calculated at the end of the evaluation after you press the stop button, so the final pronunciation overall score is aggregated from **Accuracy score**, **Fluency score**, **Completeness score**, and **Prosody score** with weight.
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Refer to the demo examples below for the whole process of evaluating pronunciation in streaming mode.
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[Speech Studio](https://aka.ms/speechstudio/) is a set of UI-based tools for building and integrating features from Azure AI Speech service in your applications. You create projects in Speech Studio by using a no-code approach, and then reference those assets in your applications by using the [Speech SDK](speech-sdk.md), the [Speech CLI](spx-overview.md), or the REST APIs.
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> [!TIP]
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> You can also try speech to text and text to speech in [AI Studio](https://ai.azure.com) without signing up or writing any code.
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> You can also try speech to text and text to speech in the [Azure AI Foundry portal](https://ai.azure.com) without signing up or writing any code.
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md
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