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This post is a collaboration between AWS, NVIDIA and Heidi .

Automatic speech recognition (ASR), often called speech-to-text (STT) is becoming increasingly critical across industries like healthcare, customer service, and media production. While pre-trained models offer strong capabilities for general speech, fine-tuning for specific domains and use cases can enhance accuracy and performance.

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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