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NVIDIA 发布 Nemotron 3.5 Transcribe 开源语音转写模型
NVIDIA 推出开源语音转写模型 Nemotron 3.5 Transcribe,总参数量 30B、激活参数仅 4B。该模型在 AA-WER Index 上取得 2.8% 的错误率,与 Mistral 的 Voxtral Small 并列开源模型第一。在语音智能体对话数据集 AA-AgentTalk 上,它以 1.8% 的错误率领先 Voxtral Small 的 2.3%。相比 Voxtral Small 的 24B 激活参数,它用少 6 倍的激活参数达到同等准确率,而同规模开源模型的错误率普遍在 4% 左右。
Current read
NVIDIA 的开源语音转写模型用 4B 激活参数做到 2.8% 错误率,比 Mistral Voxtral Small 少 6 倍参数还打平,做语音智能体的可以看看。
11 sources61° AI heatLast updated 2026/10/28 15:05:14
Evidence
11 sourcesRelated source 1vLLM
View sourceRelated source 2Decoder
View sourceRelated source 3Hugging Face: Blog
View sourceRelated source 4techcrunch
View sourceRelated source 5rohanpaul_ai
View sourceRelated source 6TestingCatalog
View sourceRelated source 7CoreWeave
View sourceRelated source 8Gorden Sun
View sourceRelated source 9arXiv cs.AI
View sourceRelated source 10Tech in Asia
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