How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent

This article introduces Nemotron 3.5 ASR, a 600M-parameter multilingual speech-to-text model that addresses key challenges in ASR deployment.

• •Supports 40 language-locales from a single checkpoint with real-time streaming using Cache-Aware FastConformer-RNNT architecture
• •Natively produces punctuated, properly-cased output without separate post-processing steps
• •Offers flexible language conditioning: can specify target language or auto-detect across multiple languages
• •Enables fine-tuning for domain-specific vocabulary, accents, dialects, and long-tail languages with limited training data
• •Provides latency-accuracy tradeoffs through configurable attention context size (80ms to 1.12s) without model retraining

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