### Custom language models blogs

1. [Boost transcription accuracy of class lectures with custom language models for Amazon Transcribe](https://aws.amazon.com/blogs/machine-learning/transcribe-class-lectures-accurately-using-amazon-transcribe-with-custom-language-models/)

This blog’s main purpose is to show how data can be easily downloaded from Wikipedia to generate a training corpus for CLM. This blog also refers to a few publicly available biology audio lectures from MIT.


2. [Building custom language models to supercharge speech-to-text performance for Amazon Transcribe](https://aws.amazon.com/blogs/machine-learning/building-custom-language-models-to-supercharge-speech-to-text-performance-for-amazon-transcribe/)

This post shows how to best use your available data to train a custom language model tailored for your speech-to-text use case. Although our walkthrough uses a transcription example from the video gaming industry, you can use CLM to enhance custom speech recognition for any domain of your choosing.