audio models for AOAI

Author: eric-urban

articles/ai-foundry/model-inference/concepts/content-filter.md

@@ -14,7 +14,7 @@ manager: nitinme
 # Content filtering for model inference in Azure AI services
 
 > [!IMPORTANT]
-> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. Learn more about the [Audio API in Azure OpenAI](../../../ai-services/openai/concepts/models.md?tabs=standard-audio#standard-models-by-endpoint).
+> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. Learn more about the [Audio models in Azure OpenAI](../../../ai-services/openai/concepts/models.md?tabs=standard-audio#standard-models-by-endpoint).
 
 Azure AI model inference in Azure AI Services includes a content filtering system that works alongside core models and it's powered by [Azure AI Content Safety](https://azure.microsoft.com/products/cognitive-services/ai-content-safety). This system works by running both the prompt and completion through an ensemble of classification models designed to detect and prevent the output of harmful content. The content filtering system detects and takes action on specific categories of potentially harmful content in both input prompts and output completions. Variations in API configurations and application design might affect completions and thus filtering behavior.
 

articles/ai-services/openai/concepts/audio.md

@@ -14,7 +14,7 @@ manager: nitinme
 # Audio capabilities in Azure OpenAI Service
 
 > [!IMPORTANT]
-> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. Learn more about the [Audio API in Azure OpenAI](models.md?tabs=standard-audio#standard-models-by-endpoint).
+> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. 
 
 Audio models in Azure OpenAI are available via the `realtime`, `completions`, and `audio` APIs. The audio models are designed to handle a variety of tasks, including speech recognition, translation, and text to speech.
 

articles/ai-services/openai/concepts/content-filter.md

@@ -14,7 +14,7 @@ manager: nitinme
 # Content filtering
 
 > [!IMPORTANT]
-> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. Learn more about the [Audio API in Azure OpenAI](models.md?tabs=standard-audio#standard-models-by-endpoint).
+> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI Service. Learn more about the [Audio models in Azure OpenAI](models.md?tabs=standard-audio#standard-models-by-endpoint).
 
 Azure OpenAI Service includes a content filtering system that works alongside core models, including DALL-E image generation models. This system works by running both the prompt and completion through an ensemble of classification models designed to detect and prevent the output of harmful content. The content filtering system detects and takes action on specific categories of potentially harmful content in both input prompts and output completions. Variations in API configurations and application design might affect completions and thus filtering behavior.
 

articles/ai-services/openai/whats-new.md

@@ -29,7 +29,7 @@ New audio models powered by GPT-4o are now available.
 
 - The `gpt-4o-mini-tts` text to speech model is released. Use the `gpt-4o-mini-tts` model for text to speech generation via the `/audio` API.
 
-For more information about available models, see the [models and versions documentation](./concepts/models.md#audio).
+For more information about available models, see the [models and versions documentation](./concepts/models.md#audio-models).
 
 ## March 2025