Nemotron-Speech-Streaming-En-0.6b: The Unified ASR Model for Low-Latency Streaming & Batch Transcription

NVIDIA Nemotron-Speech-Streaming-En-0.6b: A Powerful Model for Real-Time Speech-to-Text The Nemotron-Speech-Streaming-En-0.6b is NVIDIA’s 600M-parameter English automatic speech recognition (ASR) model, designed for high-quality transcription in both low-latency streaming and high-throughput batch scenarios. It features a native cache-aware streaming architecture, supports punctuation and capitalization out of the box, and allows runtime flexibility with chunk sizes from 80ms to 1120ms, achieving average Word Error Rates (WER) between 7.16% and 8.53%. If you’re building applications like voice assistants, live captioning, or conversational AI, you’ve probably faced a common challenge: how to achieve fast, responsive speech-to-text without sacrificing accuracy. Many traditional ASR models force a …