conformer

Why we included this project

Speech researchers who want to study the Conformer encoder without installing a whole ASR framework get a tidy PyTorch implementation here. The repo keeps just the model itself, a convolution-augmented transformer that captures both local and global patterns in audio sequences, and the README shows how to plug it into a CTC training loop. Because it is model-only, it works best as a building block or a reference for understanding the architecture rather than a complete recognizer; the maintainers point to OpenSpeech when you are ready to train end to end. The compact, PEP-8 style code is also easy to adapt, though you will bring your own data pipeline and loss handling.