A quantized int4 version of Nemotron ASR runs faster than real-time on CPU at 8.20% WER and 0.67 GB size, setting a new efficiency point for on-device streaming speech recognition.
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications,
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Pushing the Limits of On-Device Streaming ASR: A Compact, High-Accuracy English Model for Low-Latency Inference
A quantized int4 version of Nemotron ASR runs faster than real-time on CPU at 8.20% WER and 0.67 GB size, setting a new efficiency point for on-device streaming speech recognition.