NVIDIA has released Nemotron-ASR-Streaming, a new English streaming Automatic Speech Recognition (ASR) model with 600M parameters. Developed by NVIDIA, this model uses a Cache-Aware FastConformer-RNNT architecture to provide high-quality transcription with native punctuation and capitalization support, designed for low-latency streaming and high-throughput batch workloads.
Nemotron-ASR-Streaming gives developers a single English ASR model for both live voice workloads and batch transcription, with built-in punctuation and capitalization. The cache-aware design is aimed at reducing redundant overlap in streaming, while NVIDIA says it can improve throughput and lower GPU memory pressure versus buffered approaches. The competitive signal is the model’s reported 6.93% average WER at 1.12s chunk size, plus support for four operating points without retraining. Next to watch: how the model performs in real deployments through the hosted NVIDIA NIM API and NeMo stack.
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