Microsoft Foundry, Redmond's app and agent model catalog, has introduced three new Microsoft AI (MAI) models. These models are designed to improve the responsiveness and efficiency of voice-based AI applications.
The new additions include MAI-Transcribe-2-Streaming, which converts live speech into text as it is spoken, and two text-to-speech models: MAI-Voice-2.1 for expressive multilingual speech, and MAI-Voice-2.1-Flash, optimized for high-volume, responsive voice applications.
A key feature of the new transcription technology is its use of "partials," which are initial hypotheses generated within milliseconds of receiving audio. This incremental speech recognition allows the system to begin processing a request before a speaker has finished their utterance.
The model refines these partials as more context becomes available, committing to a stable transcript once the utterance is complete. This approach reduces delays and enables quicker responses from voice agents and assistants.
The ability to transcribe and process speech in real-time allows applications to act more quickly. For instance, a customer service agent can start identifying a caller's request before a sentence is finished, and voice assistants can begin reasoning or preparing tool calls sooner.
MAI-Voice-2.1-Flash is suitable for live support agents and voice assistants requiring responsive, high-volume interactions. MAI-Voice-2.1 is recommended when expressive fidelity in speech generation is the primary concern.
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Microsoft Foundry has released three new AI models, including MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. These models enable real-time speech-to-text transcription and expressive text-to-speech, allowing applications to process and respond to spoken requests more quickly.