基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/fine-tuning-nvidia-nemotron-speech-asr-on-amazon-ec2-for-domain-adaptation
来源摘要/节选
公开展示已截断至最多 800 个字符;请访问原始来源查看完整上下文。
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:…
来源说明
当前只保存了公开页面节选,不代表原文全文。请以原始来源为准。
本页只呈现已做哈希绑定的来源证据,不包含基于旧正文或缺失原文的扩展推断。