Microsoft Releases VibeVoice-ASR-BitNet

·2026.07.28 13:10

Key point

VibeVoice-ASR-BitNet, an ultra-lightweight speech recognition model optimized for edge CPU environments, has been released.

Microsoft's VibeVoice-ASR-BitNet is a compressed model optimized to enable real-time inference on edge CPU environments without a GPU.

Key features are as follows:

Model Compression: Through Heterogeneous Quantization, the model size was reduced from 4.62 GB to 1.58 GB.
Inference Performance: It delivers 1.6-2.3x faster inference speed compared to Whisper.cpp, achieving real-time processing capability (RTF < 1) with just 3 CPU threads.
Efficiency: It is designed to enable efficient speech recognition (ASR) services on low-spec hardware without a separate GPU.

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