This article explains how to perform language identification using Intel's PyTorch AI framework and Neural Compressor. It provides a code sample that uses the Hugging Face SpeechBrain toolkit and Common Voice dataset to train a model capable of identifying up to 93 languages. The article discusses optimizations with Intel Extension for PyTorch and Intel Neural Compressor to improve inference performance.
















