Fine-tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation
Amazon AWS AI Blog / 3/13/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- The post demonstrates fine-tuning the NVIDIA Nemotron Speech ASR model (Parakeet TDT 0.6B V2) for domain adaptation on Amazon EC2.
- It shows using synthetic speech data to boost transcription accuracy for specialized applications.
- It presents an end-to-end workflow that combines AWS infrastructure with popular open-source frameworks to implement the tuning pipeline.
- The guide offers practical steps and considerations for reproducing domain-specific ASR improvements in a cloud-based setup.
In this post, we explore how to fine-tune a leaderboard-topping, NVIDIA Nemotron Speech Automatic Speech Recognition (ASR) model; Parakeet TDT 0.6B V2. Using synthetic speech data to achieve superior transcription results for specialised applications, we'll walk through an end-to-end workflow that combines AWS infrastructure with the following popular open-source frameworks.
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