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Merge pull request #6320 from eric-urban/eur/openai-context
[SCOPED] openai folder moved to ai-foundry - AISERVICES
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articles/ai-services/.openpublishing.redirection.ai-services.json

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},
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{
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"source_path_from_root": "/articles/ai-services/openai/how-to/monitoring.md",
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"redirect_url": "/azure/ai-services/openai/how-to/monitor-openai",
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"redirect_url": "/azure/ai-foundry/openai/how-to/monitor-openai",
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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/openai/how-to/prepare-dataset.md",
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"redirect_url": "/azure/ai-services/openai/concepts/fine-tuning-considerations",
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"redirect_document_id": true
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"redirect_url": "/azure/ai-foundry/openai/concepts/fine-tuning-considerations",
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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/openai/how-to/audio-real-time.md",
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"redirect_url": "/azure/ai-services/openai/realtime-audio-quickstart",
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"redirect_url": "/azure/ai-foundry/openai/realtime-audio-quickstart",
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"redirect_document_id": false
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},
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{
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},
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{
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"source_path_from_root": "/articles/ai-services/openai/api-version-deprecation.md",
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"redirect_url": "/azure/ai-services/openai/api-version-lifecycle",
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"redirect_document_id": true
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"redirect_url": "/azure/ai-foundry/openai/api-version-lifecycle",
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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-custom-voice-talent.md",
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},
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{
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"source_path_from_root": "/articles/ai-services/openai/how-to/integrate-synapseml.md",
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"redirect_url": "/azure/ai-services/openai/overview",
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"redirect_document_id": true
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"redirect_url": "/azure/ai-foundry/openai/overview",
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"redirect_document_id": false
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"source_path_from_root": "/articles/ai-services/ai-services-and-ecosystem.md",
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},
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{
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"source_path_from_root": "/articles/ai-services/openai/assistants-reference-messages.md",
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"redirect_url": "/azure/ai-services/openai/reference-preview#list---messages",
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"redirect_url": "/azure/ai-foundry/openai/reference-preview#list---messages",
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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/openai/assistants-reference-runs.md",
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"redirect_url": "/azure/ai-services/openai/reference-preview#create---thread-and-run",
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"redirect_url": "/azure/ai-foundry/openai/reference-preview#create---thread-and-run",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/ai-services/openai/assistants-reference-threads.md",
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"redirect_url": "/azure/ai-services/openai/reference-preview#create---thread",
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"redirect_url": "/azure/ai-foundry/openai/reference-preview#create---thread",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/ai-services/openai/assistants-reference.md",
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"redirect_url": "/azure/ai-services/openai/reference-preview#list---assistants",
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"redirect_document_id": true
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"redirect_url": "/azure/ai-foundry/openai/reference-preview#list---assistants",
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"redirect_document_id": false
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"source_path_from_root": "/articles/ai-services/speech-service/meeting-transcription.md",
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},
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{
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"source_path_from_root": "/articles/ai-services/openai/concepts/content-filter-personal-information.md",
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"redirect_url": "/azure/ai-services/openai/concepts/content-filter",
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"redirect_url": "/azure/ai-foundry/openai/concepts/content-filter",
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"redirect_document_id": false
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{

articles/ai-services/content-safety/how-to/improve-performance.md

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Conduct an initial assessment to confirm that you really have a false positive or false negative. This can involve:
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- Checking the context of the flagged content.
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- Comparing the flagged content against the content risk categories and severity definitions:
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- If you're using Guardrails & controls in Azure OpenAI, see the [Azure OpenAI content filtering doc](/azure/ai-services/openai/concepts/content-filter).
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- If you're using Guardrails & controls in Azure OpenAI, see the [Azure OpenAI content filtering doc](/azure/ai-foundry/openai/concepts/content-filter).
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- If you're using the Azure AI Content Safety standalone API, see the [Harm categories doc](/azure/ai-services/content-safety/concepts/harm-categories?tabs=warning) or the [Prompt Shields doc](/azure/ai-services/content-safety/concepts/jailbreak-detection), depending on which API you're using.
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## Customize your severity settings
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#### [Azure OpenAI](#tab/azure-openai-studio)
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Read the [Configurability](/en-us/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cuser-prompt%2Cpython-new#configurability-preview) documentation, as some content filtering configurations may require approval through the process mentioned there.
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Read the [Configurability](/en-us/azure/ai-foundry/openai/concepts/content-filter?tabs=warning%2Cuser-prompt%2Cpython-new#configurability-preview) documentation, as some content filtering configurations may require approval through the process mentioned there.
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Follow the steps in the documentation to update configurations to handle false positives or negatives: [How to use content filters (preview) with Azure OpenAI in Azure AI Foundry Models](/azure/ai-services/openai/how-to/content-filters).
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Follow the steps in the documentation to update configurations to handle false positives or negatives: [How to use content filters (preview) with Azure OpenAI in Azure AI Foundry Models](/azure/ai-foundry/openai/how-to/content-filters).
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In addition to adjusting the severity levels for false negatives, you can also use blocklists. Detailed instruction can be found in [How to use blocklists with Azure OpenAI](/azure/ai-services/openai/how-to/use-blocklists).
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In addition to adjusting the severity levels for false negatives, you can also use blocklists. Detailed instruction can be found in [How to use blocklists with Azure OpenAI](/azure/ai-foundry/openai/how-to/use-blocklists).
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#### [Azure AI Foundry](#tab/azure-ai-studio)
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articles/ai-services/speech-service/includes/common/azure-prerequisites-openai.md

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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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> * [Create a Microsoft Azure OpenAI in Azure AI Foundry Models resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesOpenAI) in the Azure portal.
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> * Deploy a [model](/azure/ai-services/openai/concepts/models) in your Azure OpenAI resource. For more information about model deployment, see the Azure OpenAI [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
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> * Deploy a [model](/azure/ai-foundry/openai/concepts/models) in your Azure OpenAI resource. For more information about model deployment, see the Azure OpenAI [resource deployment guide](/azure/ai-foundry/openai/how-to/create-resource).
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> * Get the Azure OpenAI resource key and endpoint. After your Azure OpenAI resource is deployed, select **Go to resource** to view and manage keys.
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> * [Create an AI Foundry resource for Speech](https://portal.azure.com/#create/Microsoft.CognitiveServicesAIFoundry) in the Azure portal.
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> * Get the Speech resource key and region. After your Speech resource is deployed, select **Go to resource** to view and manage keys.

articles/ai-services/speech-service/includes/quickstarts/openai-speech/csharp.md

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}
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```
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `MaxTokens` property in the `ChatCompletionsOptions` class instance. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-services/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `MaxTokens` property in the `ChatCompletionsOptions` class instance. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-foundry/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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1. Run your new console application to start speech recognition from a microphone:
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- To change the voice that you hear, replace `en-US-JennyMultilingualNeural` with another [supported voice](~/articles/ai-services/speech-service/language-support.md?tabs=tts#standard-voices). If the voice doesn't speak the language of the text returned from Azure OpenAI, the Speech service doesn't output synthesized audio.
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- To reduce latency for text to speech output, use the text streaming feature, which enables real-time text processing for fast audio generation and minimizes latency, enhancing the fluidity and responsiveness of real-time audio outputs. Refer to [how to use text streaming](~/articles/ai-services/speech-service/how-to-lower-speech-synthesis-latency.md#input-text-streaming).
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- To enable [TTS Avatar](~/articles/ai-services/speech-service/text-to-speech-avatar/what-is-text-to-speech-avatar.md) as a visual experience of speech output, refer to [real-time synthesis for text to speech avatar](~/articles/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar.md) and [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar#chat-sample) for chat scenario with avatar.
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses might be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-services/openai/concepts/content-filter) article.
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses might be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-foundry/openai/concepts/content-filter) article.
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## Clean up resources
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articles/ai-services/speech-service/includes/quickstarts/openai-speech/python.md

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print("Encountered exception. {}".format(err))
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `max_tokens` parameter. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-services/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `max_tokens` parameter. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-foundry/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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- To change the voice that you hear, replace `en-US-JennyMultilingualNeural` with another [supported voice](~/articles/ai-services/speech-service/language-support.md#standard-voices). If the voice doesn't speak the language of the text returned from Azure OpenAI, the Speech service doesn't output synthesized audio.
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- To reduce latency for text to speech output, use the text streaming feature, which enables real-time text processing for fast audio generation and minimizes latency, enhancing the fluidity and responsiveness of real-time audio outputs. Refer to [how to use text streaming](~/articles/ai-services/speech-service/how-to-lower-speech-synthesis-latency.md#input-text-streaming).
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- To enable [TTS Avatar](~/articles/ai-services/speech-service/text-to-speech-avatar/what-is-text-to-speech-avatar.md) as a visual experience of speech output, refer to [real-time synthesis for text to speech avatar](~/articles/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar.md) and [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar#chat-sample) for chat scenario with avatar.
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses might be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-services/openai/concepts/content-filter) article.
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses might be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-foundry/openai/concepts/content-filter) article.
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## Clean up resources
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articles/ai-services/speech-service/text-to-speech-avatar/what-is-text-to-speech-avatar.md

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* [Batch synthesis (REST)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch-avatar)
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* [Real-time synthesis (SDK)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar)
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* [Live chat with Azure OpenAI in behind (SDK)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar#chat-sample)
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* To create a live chat APP with Azure OpenAI [On Your Data](/azure/ai-services/openai/concepts/use-your-data), you can refer to [this sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/js/browser/avatar/README.md) (search "On Your Data")
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* To create a live chat APP with Azure OpenAI [On Your Data](/azure/ai-foundry/openai/concepts/use-your-data), you can refer to [this sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/js/browser/avatar/README.md) (search "On Your Data")
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## Pricing
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articles/ai-services/speech-service/toc.yml

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- name: How to use voice live
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href: /azure/ai-services/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context
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href: /azure/ai-foundry/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context
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- name: Keyword recognition
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articles/ai-services/speech-service/voice-live-agents-quickstart.md

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- Try the [Voice live quickstart](./voice-live-quickstart.md)
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- Learn more about [How to use the voice live API](./voice-live-how-to.md)
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- See the [audio events reference](/azure/ai-services/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)
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- See the [audio events reference](/azure/ai-foundry/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)

articles/ai-services/speech-service/voice-live-how-to.md

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The voice live API provides a capable WebSocket interface compared to the [Azure OpenAI Realtime API](../../ai-foundry/openai/how-to/realtime-audio.md).
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Unless otherwise noted, the voice live API uses the same events as the [Azure OpenAI Realtime API](/azure/ai-services/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context). This document provides a reference for the event message properties that are specific to the voice live API.
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Unless otherwise noted, the voice live API uses the same events as the [Azure OpenAI Realtime API](/azure/ai-foundry/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context). This document provides a reference for the event message properties that are specific to the voice live API.
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## Supported models and regions
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- Try out the [voice live API quickstart](./voice-live-quickstart.md)
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- See the [audio events reference](/azure/ai-services/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)
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- See the [audio events reference](/azure/ai-foundry/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)

articles/ai-services/speech-service/voice-live-quickstart.md

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- Learn more about [How to use the voice live API](./voice-live-how-to.md)
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- See the [audio events reference](/azure/ai-services/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)
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- See the [audio events reference](/azure/ai-foundry/openai/realtime-audio-reference?context=/azure/ai-services/speech-service/context/context)

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