Microsoft completes full end-to-end pipeline for voice agents: real-time transcription as you speak, voice generation latency as low as 45ms.
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Beating AI Express News: Microsoft has rolled out three audio models in one go: MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. The first is designed for real-time speech-to-text, while the latter two handle text-to-speech, primarily targeting low-latency voice agents. MAI-Transcribe-2-Streaming can output text continuously before a speaker finishes talking, supporting 60 languages and automatic language detection. Per Artificial Analysis’ streaming speech-to-text leaderboard, it ranks first in both final transcription accuracy and first partial transcription accuracy, with a word error rate (WER) of 2.5%. The final text is returned approximately 0.13 seconds after the speaker concludes, compared to Grok Voice Transcribe 2.0’s 2.7% WER and 0.49-second latency. MAI-Voice-2.1 supports 23 languages, enabling the same voice to switch between different languages. The Flash version is optimized for low latency, with model inference taking around 45ms and priced at $15 per million characters; the standard version has ~550ms latency and costs $22 per million characters. Both models support voice matching via a short reference audio clip. This suite addresses the waiting issue that most impacts voice agent user experience. The system can initiate transcription and inference while the user is still speaking, then use the Flash model to quickly generate voice responses, eliminating the need to wait for a full sentence to end before starting operations.
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