📄 中文摘要
针对特定应用，使用合成语音数据微调 NVIDIA Nemotron 语音自动语音识别（ASR）模型 Parakeet TDT 0.6B V2，以实现更优的转录效果。该工作流程结合了 AWS 基础设施与多种流行的开源框架，展示了从数据准备到模型训练的完整过程。通过这一方法，可以有效提升模型在专业领域的适应能力，满足特定行业的需求。
在 Amazon EC2 上微调 NVIDIA Nemotron 语音 ASR 以实现领域适应
📄 English Summary
Fine-tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation
The process involves fine-tuning the NVIDIA Nemotron Speech Automatic Speech Recognition (ASR) model, Parakeet TDT 0.6B V2, using synthetic speech data to achieve superior transcription results for specialized applications. An end-to-end workflow is presented that integrates AWS infrastructure with various popular open-source frameworks. This approach enhances the model's adaptability in specific domains, catering to the needs of particular industries.