An Azure service that integrates speech processing into apps and services.
In Azure OpenAI Realtime, the equivalent capability is still called input_audio_noise_reduction, but it is exposed as part of the Realtime transcription/session configuration rather than as a top‑level OpenAI platform field.
From the Azure OpenAI in Azure AI Foundry Models REST API (preview) components, input_audio_noise_reduction is defined as:
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input_audio_noise_reduction: object (can be set tonullto turn off)-
type:near_fieldorfar_field
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This property:
- Filters audio added to the input audio buffer before it is sent to VAD and the model.
- Improves VAD and turn detection accuracy and model performance.
So when moving from OpenAI Realtime Mini 4o to Azure OpenAI Realtime models (for example gpt-4o-realtime-preview or gpt-4o-mini-realtime-preview), configure noise reduction via the input_audio_noise_reduction object in the Realtime session/transcription request body, setting type to near_field (headsets, close mics) or far_field (laptop/conference mics), or null to disable.
There is no different or renamed Azure‑specific property; the same concept is supported through this input_audio_noise_reduction field in the Azure Realtime API schema.
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