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.openpublishing.redirection.ai-services-from-cog.json

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"redirect_url": "/azure/ai-services/speech-service/how-to-configure-openssl-linux",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/cognitive-services/speech-service/how-to-configure-rhel-centos-7.md",
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"redirect_url": "/azure/ai-services/speech-service/how-to-configure-rhel-centos-7",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/cognitive-services/speech-service/how-to-control-connections.md",
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"redirect_url": "/azure/ai-services/speech-service/how-to-control-connections",

.openpublishing.redirection.json

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{
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"redirections": [
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{
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"source_path": "articles/storage/files/files-samples-dotnet-v11.md",
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"redirect_url": "/previous-versions/azure/storage/files/files-samples-dotnet-v11",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/files-samples-java-v8.md",
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"redirect_url": "/previous-versions/azure/storage/files/files-samples-java-v8",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/files-samples-python-v2.md",
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"redirect_url": "/previous-versions/azure/storage/files/files-samples-python-v2",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/storage-c-plus-plus-how-to-use-files.md",
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"redirect_url": "/previous-versions/azure/storage/files/storage-c-plus-plus-how-to-use-files",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/queues/queues-v11-samples-dotnet.md",
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"redirect_url": "/previous-versions/azure/storage/queues/queues-v11-samples-dotnet",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/queues/queues-v2-samples-python.md",
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"redirect_url": "/previous-versions/azure/storage/queues/queues-v2-samples-python",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/storage-files-migration-storsimple-1200.md",
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"redirect_url": "/previous-versions/azure/storage/files/storage-files-migration-storsimple-1200",
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"redirect_document_id": false
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}
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]
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}
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}

articles/ai-services/.openpublishing.redirection.ai-services.json

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"source_path_from_root": "/articles/ai-services/speech-service/faq-voice-assistants.yml",
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"redirect_url": "/azure/ai-services/speech-service/custom-commands",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/cognitive-services/speech-service/how-to-configure-rhel-centos-7.md",
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"redirect_url": "/azure/ai-services/speech-service/quickstarts/setup-platform",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/ai-services/speech-service/how-to-configure-rhel-centos-7.md",
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"redirect_url": "/azure/ai-services/speech-service/quickstarts/setup-platform",
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"redirect_document_id": false
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}
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]

articles/ai-services/document-intelligence/concept-accuracy-confidence.md

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A confidence score indicates probability by measuring the degree of statistical certainty that the extracted result is detected correctly. The estimated accuracy is calculated by running a few different combinations of the training data to predict the labeled values. In this article, learn to interpret accuracy and confidence scores and best practices for using those scores to improve accuracy and confidence results.
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## Confidence scores
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> [!NOTE]
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>
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> * Field level confidence is getting update to take into account word confidence score starting with **2024-07-31-preview** API version for **custom models**.
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> * Confidence scores for tables, table rows and table cells are available starting with the **2024-07-31-preview** API version for **custom models**.
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articles/ai-services/document-intelligence/concept-retrieval-augmented-generation.md

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manager: nitinme
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ms.service: azure-ai-document-intelligence
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ms.topic: conceptual
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ms.date: 02/29/2024
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ms.author: luzhan
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ms.date: 08/13/2024
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ms.author: lajanuar
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monikerRange: '>=doc-intel-3.1.0'
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---
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from langchain_community.document_loaders import AzureAIDocumentIntelligenceLoader
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from langchain.text_splitter import MarkdownHeaderTextSplitter
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# Initiate Azure AI Document Intelligence to load the document. You can either specify file_path or url_path to load the document.
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loader = AzureAIDocumentIntelligenceLoader(file_path="<path to your file>", api_key = key, api_endpoint = endpoint, api_model="prebuilt-layout")
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docs = loader.load()
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# Split the document into chunks base on markdown headers.
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headers_to_split_on = [
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("#", "Header 1"),
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("##", "Header 2"),
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("###", "Header 3"),
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]
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text_splitter = MarkdownHeaderTextSplitter(headers_to_split_on=headers_to_split_on)
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docs_string = docs[0].page_content
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splits = text_splitter.split_text(docs_string)
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splits
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```
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> [!div class="nextstepaction"]
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> [View samples on GitHub.](https://github.com/Azure-Samples/document-intelligence-code-samples/blob/main/Python(v4.0)/Retrieval_Augmented_Generation_(RAG)_samples/sample_rag_langchain.ipynb)
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## Next steps
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* Learn more about [Azure AI Document Intelligence](overview.md).
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---
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author: laujan
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ms.service: azure-ai-document-intelligence
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ms.custom:
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- ignite-2023
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ms.topic: include
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ms.date: 08/13/2024
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---
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<!-- markdownlint-disable MD041 -->
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* For best results, provide one clear photo or high-quality scan per document.
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* Supported file formats:
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|Model | PDF |Image: </br>JPEG/JPG, PNG, BMP, TIFF, HEIF | Microsoft Office: </br> Word (DOCX), Excel (XLSX), PowerPoint (PPTX), and HTML|
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|--------|:----:|:-----:|:---------------:
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|Model | PDF |Image: </br>`JPEG/JPG`, `PNG`, `BMP`, `TIFF`, `HEIF` | Microsoft Office: </br> Word (`DOCX`), Excel (`XLSX`), PowerPoint (`PPTX`), HTML|
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|--------|:----:|:-----:|:---------------:|
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|Read ||||
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|Layout ||| ✔ (2024-02-29-preview, 2023-10-31-preview) |
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|Layout ||| ✔ (2024-07-31-preview, 2024-02-29-preview, 2023-10-31-preview) |
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|General&nbsp;Document||| |
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|Prebuilt ||| |
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|Custom extraction ||| |
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|Custom classification ||| ✔ (2024-02-29-preview) |
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|Custom classification ||| ✔ (2024-07-31-preview, 2024-02-29-preview) |
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* For best results, provide one clear photo or high-quality scan per document.
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* For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
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* For PDF and TIFF, up to 2,000 pages can be processed (with a free tier subscription, only the first two pages are processed).
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* The file size for analyzing documents is 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
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* The file size for analyzing documents is 500 MB for paid (S0) tier and `4` MB for free (F0) tier.
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* Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels.
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* Image dimensions must be between 50 pixels x 50 pixels and 10,000 pixels x 10,000 pixels.
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* If your PDFs are password-locked, you must remove the lock before submission.
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* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about `8`-point text at 150 dots per inch (DPI).
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* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about `8` point text at 150 dots per inch (DPI).
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* For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.
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* For custom extraction model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model.
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* For custom extraction model training, the total size of training data is 50 MB for template model and `1` GB for the neural model.
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* For custom classification model training, the total size of training data is `1GB` with a maximum of 10,000 pages.
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* For custom classification model training, the total size of training data is `1` GB with a maximum of 10,000 pages. For 2024-07-31-preview and later, the total size of training data is `2` GB with a maximum of 10,000 pages.

articles/ai-services/speech-service/embedded-speech.md

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Requires Linux on x64, Arm64, or Arm32 hardware with [supported Linux distributions](quickstarts/setup-platform.md?tabs=linux).
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Embedded speech isn't supported on RHEL/CentOS 7.
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<artifactId>client-sdk-embedded</artifactId>
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<version>1.38.0</version>
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<version>1.40.0</version>
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</dependency>
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</dependencies>
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</project>
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```
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implementation 'com.microsoft.cognitiveservices.speech:client-sdk-embedded:1.40.0@aar'
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}
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```
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::: zone-end

articles/ai-services/speech-service/how-to-configure-openssl-linux.md

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> [!CAUTION]
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> This article references CentOS, a Linux distribution that is End Of Life (EOL) status. Please consider your use and planning accordingly. For more information, see the [CentOS End Of Life guidance](~/articles/virtual-machines/workloads/centos/centos-end-of-life.md).
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With the Speech SDK, [OpenSSL](https://www.openssl.org) is dynamically configured to the host-system version.
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articles/ai-services/speech-service/how-to-configure-rhel-centos-7.md

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articles/ai-services/speech-service/includes/how-to/compressed-audio-input/gstreamer-linux.md

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```
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# [RHEL/CentOS](#tab/centos)
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> [!CAUTION]
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> This article references CentOS, a Linux distribution that is End Of Life (EOL) status. Please consider your use and planning accordingly. For more information, see the [CentOS End Of Life guidance](~/articles/virtual-machines/workloads/centos/centos-end-of-life.md).
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```sh
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gstreamer1-plugins-ugly-free
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```
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> [!NOTE]
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For more information, see [Linux installation instructions](https://gstreamer.freedesktop.org/documentation/installing/on-linux.html?gi-language=c) and [supported Linux distributions and target architectures](~/articles/ai-services/speech-service/speech-sdk.md).

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