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articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md

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| `or-IN` | Oriya (India) | `or-IN-SubhasiniNeural` (Female)<br/>`or-IN-SukantNeural` (Male) |
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| `pa-IN` | Punjabi (India) | `pa-IN-OjasNeural` (Male)<br/>`pa-IN-VaaniNeural` (Female) |
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The one voice in this table is generally available and supports only the 'en-IN' locale.
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| Locale (BCP-47) | Language | Text to speech voices |
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|---------|-------------------|--------|
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| `en-IN` | English (India) | `en-IN-AashiNeural` (Female)|
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The five voices in this table are generally available and support both "en-IN" and "hi-IN" locales.
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| Locale (BCP-47) | Language | Text to speech voices |
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- `es-ES-AlvaroNeural`: `cheerful`, `sad`
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- `ko-KR-InjoonNeural`: `sad`
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See the [Voice styles and roles](../../language-support.md?tabs=tts#voice-styles-and-roles) for more information.'
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See the [Voice styles and roles](../../language-support.md?tabs=tts#voice-styles-and-roles) for more information.
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### August 2024 release
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articles/search/resource-tools.md

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| Tool name | Description | Source code |
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|-----------|------------ |-------------|
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| [Azure AI Search Lab](https://github.com/jelledruyts/azure-ai-search-lab) | Learning and experimentation lab to try out AI-enabled search scenarios in Azure. It provides a web application front-end which uses Azure AI Search and Azure OpenAI to execute searches with a variety of options - ranging from simple keyword search, to semantic ranking, vector and hybrid search, and using generative AI to answer search queries. | [https://github.com/jelledruyts/azure-ai-search-lab](https://github.com/jelledruyts/azure-ai-search-lab) |
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| [VoiceRAG: An Application Pattern for RAG + Voice](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/voicerag-an-app-pattern-for-rag-voice-using-azure-ai-search-and/ba-p/4259116) | A simple architecture for voice-based generative AI applications that enables RAG on top of the real-time audio API with full-duplex audio streaming from client devices, while securely handling access to both model and retrieval system. | [https://github.com/Azure-Samples/aisearch-openai-rag-audio](https://github.com/Azure-Samples/aisearch-openai-rag-audio/blob/main/README.md) |
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| [Azure AI Search pattern for RAG + Voice](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/voicerag-an-app-pattern-for-rag-voice-using-azure-ai-search-and/ba-p/4259116) | A simple architecture for voice-based generative AI applications that enables RAG on top of the real-time audio API with full-duplex audio streaming from client devices, while securely handling access to both model and retrieval system. | [https://github.com/Azure-Samples/aisearch-openai-rag-audio](https://github.com/Azure-Samples/aisearch-openai-rag-audio/blob/main/README.md) |
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| [Back up and Restore (C#)](https://github.com/Azure-Samples/azure-search-dotnet-utilities/blob/main/index-backup-restore) | Download the retrievable fields of an index to your local device and then upload the index and its content to a new search service. | [https://github.com/Azure-Samples/azure-search-dotnet-utilities/blob/main/index-backup-restore](https://github.com/Azure-Samples/azure-search-dotnet-utilities/blob/main/index-backup-restore) |
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| [Back up and Restore (Python)](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/index-backup-restore) | Download the retrievable fields of an index to your local device and then upload the index and its content to a new search service. | [https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/index-backup-restore](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/index-backup-restore) |
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| [Chat with your data solution accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator/blob/main/README.md) | Code and docs to create interactive search solution in production environments. | [https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator) |

articles/search/search-create-service-portal.md

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:::image type="content" source="media/search-create-service-portal/quota-pencil-edit.png" lightbox="media/search-create-service-portal/quota-pencil-edit.png" alt-text="Screenshot of the My Quotas page with a region at maximum quota.":::
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1. In **Quota details**, specify the location, tier, and a new limit for your subscription quota. None of the values can be empty. The new limit must be greater than the current limit, and equal to or lower than the number in the auto-approved quota increase column. For example, for the Basic tier in a given region, if the current limit is 16, your new limit can be between 17 and 80.
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| Tier | Default limit | Auto-approved quota increase | Combined total |
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|--|--|--|--|
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| Basic | 16 | 80 | 96 |
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| S1 | 16 | 30 | 46 |
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| S2 | 8 | 10 | 18 |
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| S3, S3HD | 6 | 10 | 16 |
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| L1, L2 | 6 | 10 | 16 |
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1. In **Quota details**, specify the location, tier, and a new limit for your subscription quota. None of the values can be empty. The new limit must be greater than the current limit. If regional capacity is constrained, your request won't be automatically approved. In this scenario, an incident report is generated on your behalf for investigation and resolution.
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1. Submit the request.
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articles/search/search-security-manage-encryption-keys.md

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Requirements for using the portal are that the key vault and key must exist, and you completed the previous steps for authorized access to the key.
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In the Azure portal, skillsets are defined in JSON view. Use the JSON shown in the REST API examples to provide a customer-managed key on a skillset.
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:::image type="content" source="media/search-security-manage-encryption-keys/assign-key-vault-portal.png" alt-text="Screenshot of the encryption key page in the Azure portal.":::

articles/search/whats-new.md

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| [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md#hybrid-search-with-filters-targeting-vector-subqueries-preview) | Feature | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. The new `filterOverride` parameter is available on hybrid queries using the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
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| [**Text Split skill (token chunking)**](cognitive-search-skill-textsplit.md) | Applied AI (skills) | This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. The new `unit` parameter and query subscore definitions are found in the [2024-09-01-preview](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
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| [**2024-09-01-preview**](/rest/api/searchservice/search-service-api-versions?view=rest-searchservice-2024-09-01-preview&preserve-view=true) | API | Preview release of REST APIs for truncated dimensions in text-embedding-3 models, targeted vector filtering for hybrid queries, RRF subscore details for debugging, and token chunking for Text Split skill.|
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| [**Portal support for customer-managed key encryption (CMK)**](search-security-manage-encryption-keys.md#step-4-encrypt-content) | Feature | When you create new objects in the Azure portal, you can now specify CMK-encryption and select an Azure Key Vault to provide the key. |
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| [**Portal support for customer-managed key encryption (CMK)**](/azure/search/search-security-manage-encryption-keys?tabs=portal#step-4-encrypt-content) | Feature | When you create new objects in the Azure portal, you can now specify CMK-encryption and select an Azure Key Vault to provide the key. |
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## August 2024
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