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.openpublishing.redirection.azure-monitor.json

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.openpublishing.redirection.json

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"redirect_document_id": false
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articles/ai-services/content-safety/language-support.md

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# Language support for Azure AI Content Safety
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> [!IMPORTANT]
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> Azure AI Content Safety features not listed in this article, such as Prompt Shields, Protected material detection, Groundedness detection, and Custom categories (rapid) only support English.
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## Text moderation
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The Azure AI Content Safety text moderation feature supports many languages, but it has been specially trained and tested on a smaller set of languages.
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> Azure AI Content Safety models have been specifically trained and tested on the following languages: Chinese, English, French, German, Italian, Japanese, Portuguese. However, the service can work in many other languages, but the quality might vary. In all cases, you should do your own testing to ensure that it works for your application.
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> [!NOTE]
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> **Language auto-detection**
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>
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> You don't need to specify a language code for text moderation. The service automatically detects your input language.
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| Language name | Language code | Text moderation | Specially trained |
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| Language name | Language code | Supported Languages | Specially trained languages|
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|-----------------------|---------------|--------|--|
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| Afrikaans | `af` | ✔️ | |
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| Albanian | `sq` | ✔️ | |

articles/ai-services/openai/how-to/provisioned-throughput-onboarding.md

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description: Learn about provisioned throughput units onboarding and Azure OpenAI.
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 05/02/2024
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ms.date: 06/25/2024
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|---|---|
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|Model | OpenAI model you plan to use. For example: GPT-4 |
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| Version | Version of the model you plan to use, for example 0614 |
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| Prompt tokens | Number of tokens in the prompt for each call |
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| Generation tokens | Number of tokens generated by the model on each call |
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| Peak calls per minute | Peak concurrent load to the endpoint measured in calls per minute|
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| Peak calls per min | The number of calls per minute that are expected to be sent to the model |
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| Tokens in prompt call | The number of tokens in the prompt for each call to the model. Calls with larger prompts will utilize more of the PTU deployment. Currently this calculator assumes a single prompt value so for workloads with wide variance, we recommend benchmarking your deployment on your traffic to determine the most accurate estimate of PTU needed for your deployment. |
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| Tokens in model response | The number of tokens generated from each call to the model. Calls with larger generation sizes will utilize more of the PTU deployment. Currently this calculator assumes a single prompt value so for workloads with wide variance, we recommend benchmarking your deployment on your traffic to determine the most accurate estimate of PTU needed for your deployment. |
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After you fill in the required details, select **Calculate** to view the suggested PTU for your scenario.
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After you fill in the required details, select **Calculate** button in the output column.
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The values in the output column are the estimated value of PTU units required for the provided workload inputs. The first output value represents the estimated PTU units required for the workload, rounded to the nearest PTU scale increment. The second output value represents the raw estimated PTU units required for the workload. The token totals are calculated using the following equation: `Total = Peak calls per minute * (Tokens in prompt call + Tokens in model response)`.
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:::image type="content" source="../media/how-to/provisioned-onboarding/capacity-calculator.png" alt-text="Screenshot of the Azure OpenAI Studio landing page." lightbox="../media/how-to/provisioned-onboarding/capacity-calculator.png":::
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articles/ai-services/speech-service/includes/language-support/tts.md

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| `ar-SY` | Arabic (Syria) | `ar-SY-AmanyNeural` (Female)<br/>`ar-SY-LaithNeural` (Male) |
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| `ar-TN` | Arabic (Tunisia) | `ar-TN-ReemNeural` (Female)<br/>`ar-TN-HediNeural` (Male) |
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| `ar-YE` | Arabic (Yemen) | `ar-YE-MaryamNeural` (Female)<br/>`ar-YE-SalehNeural` (Male) |
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| `as-IN` |Assamese (India) | `as-IN-YashicaNeural`<sup>5</sup> (Female)<br/>`as-IN-PriyomNeural`<sup>5</sup> (Male) |
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| `az-AZ` | Azerbaijani (Latin, Azerbaijan) | `az-AZ-BanuNeural`<sup>2</sup> (Female)<br/>`az-AZ-BabekNeural`<sup>2</sup> (Male) |
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| `bg-BG` | Bulgarian (Bulgaria) | `bg-BG-KalinaNeural` (Female)<br/>`bg-BG-BorislavNeural` (Male) |
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| `bn-BD` | Bangla (Bangladesh) | `bn-BD-NabanitaNeural`<sup>2</sup> (Female)<br/>`bn-BD-PradeepNeural`<sup>2</sup> (Male) |
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| `ne-NP` | Nepali (Nepal) | `ne-NP-HemkalaNeural`<sup>2</sup> (Female)<br/>`ne-NP-SagarNeural`<sup>2</sup> (Male) |
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| `nl-BE` | Dutch (Belgium) | `nl-BE-DenaNeural` (Female)<br/>`nl-BE-ArnaudNeural` (Male) |
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| `nl-NL` | Dutch (Netherlands) | `nl-NL-FennaNeural` (Female)<br/>`nl-NL-MaartenNeural` (Male)<br/>`nl-NL-ColetteNeural` (Female) |
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| `or-IN` |Oriya (India) | `or-IN-SubhasiniNeural`<sup>5</sup> (Female)<br/>`or-IN-SukantNeural`<sup>5</sup> (Male) |
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| `pa-IN` | Punjabi (India) | `pa-IN-VaaniNeural`<sup>5</sup> (Female)<br/>`pa-IN-OjasNeural`<sup>5</sup> (Male) |
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| `pl-PL` | Polish (Poland) | `pl-PL-AgnieszkaNeural` (Female)<br/>`pl-PL-MarekNeural` (Male)<br/>`pl-PL-ZofiaNeural` (Female) |
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| `ps-AF` | Pashto (Afghanistan) | `ps-AF-LatifaNeural`<sup>2</sup> (Female)<br/>`ps-AF-GulNawazNeural`<sup>2</sup> (Male) |
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| `pt-BR` | Portuguese (Brazil) | `pt-BR-FranciscaNeural` (Female)<br/>`pt-BR-AntonioNeural` (Male)<br/>`pt-BR-BrendaNeural` (Female)<br/>`pt-BR-DonatoNeural` (Male)<br/>`pt-BR-ElzaNeural` (Female)<br/>`pt-BR-FabioNeural` (Male)<br/>`pt-BR-GiovannaNeural` (Female)<br/>`pt-BR-HumbertoNeural` (Male)<br/>`pt-BR-JulioNeural` (Male)<br/>`pt-BR-LeilaNeural` (Female)<br/>`pt-BR-LeticiaNeural` (Female)<br/>`pt-BR-ManuelaNeural` (Female)<br/>`pt-BR-NicolauNeural` (Male)<br/>`pt-BR-ThalitaMultilingualNeural`<sup>1,3</sup> (Female)<br/>`pt-BR-ValerioNeural` (Male)<br/>`pt-BR-YaraNeural` (Female)<br/>`pt-BR-ThalitaNeural`<sup>1</sup> (Female) |
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<sup>4</sup> The OpenAI text to speech voices in Azure AI Speech are in public preview and only available in North Central US (`northcentralus`) and Sweden Central (`swedencentral`). Locales not listed for OpenAI voices aren't supported. For information about additional differences between OpenAI text to speech voices and Azure AI Speech text to speech voices, see [OpenAI text to speech voices](../../openai-voices.md#openai-text-to-speech-voices-via-azure-openai-service-or-via-azure-ai-speech).
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<sup>5</sup> The neural voices in public preview are only available in these service [regions](../../regions.md): East Asia, Southeast Asia, East US, West US, and Central India.

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

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### June 2024 release
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#### Prebuilt neural voice
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- Introducing 6 new voices in public preview available in specific regions: East Asia, Southeast Asia, East US, West US, and Central India.
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| Locale | Language | Text to speech voices |
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|--------|-----------------|-------------------------|
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| `or-IN` | Oriya (India) | `or-IN-SubhasiniNeural` (Female) |
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| `or-IN` | Oriya (India) | `or-IN-SukantNeural` (Male) |
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| `pa-IN` | Punjabi (India) | `pa-IN-VaaniNeural` (Female) |
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| `pa-IN` | Punjabi (India) | `pa-IN-OjasNeural` (Male) |
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| `as-IN` | Assamese (India)| `as-IN-YashicaNeural` (Female) |
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| `as-IN` | Assamese (India)| `as-IN-PriyomNeural` (Male) |
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See the [full language and voice list](../../language-support.md?tabs=tts) for more information.
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#### Text to speech avatar
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- Text to speech avatar now supports the following regions: Southeast Asia, North Europe, West Europe, Sweden Central, South Central US, and West US 2. For more information, see [Speech service regions](../../regions.md#speech-service).
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#### Text to speech avatar
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- Removed dependency on [Azure Communication Services (ACS) TURN](/azure/communication-services/quickstarts/relay-token) for real-time avatar. The [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar) has been updated accordingly to reflect this change.
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- Published text to speech avatar pricing. For more details, see the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/). Note that avatar pricing will only be visible for service regions where the feature is available, including West US 2, West Europe, and Southeast Asia.
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- Published text to speech avatar pricing. For more details, see the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/). Note that avatar pricing will only be visible for service [regions](../../regions.md#speech-service) where the feature is available.
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articles/ai-services/speech-service/regions.md

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| Asia Pacific | Japan West | `japanwest` <sup>3</sup> |
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| Canada | Canada Central | `canadacentral` <sup>1</sup> |
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| Europe | North Europe | `northeurope` <sup>1,2,4,5,7,10</sup> |
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| Europe | West Europe | `westeurope` <sup>1,2,4,5,7,9,10</sup> |
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| Europe | Sweden Central | `swedencentral`<sup>8,10</sup> |
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| Europe | Switzerland North | `switzerlandnorth` <sup>6</sup> |
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| Europe | UK South | `uksouth` <sup>1,2,4,7</sup> |
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| US | East US | `eastus` <sup>1,2,4,5,7,9,11</sup> |
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| US | East US 2 | `eastus2` <sup>1,2,4,5</sup> |
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| US | North Central US | `northcentralus` <sup>4,6</sup> |
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| US | South Central US | `southcentralus` <sup>1,2,4,5,6,7</sup> |
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| US | South Central US | `southcentralus` <sup>1,2,4,5,6,7,10</sup> |
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| US | West Central US | `westcentralus` <sup>3,5</sup> |
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| US | West US | `westus` <sup>2,5</sup> |
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| US | West US 2 | `westus2` <sup>1,2,4,5,7,10</sup> |

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