kospeech

Why we included this project

KoSpeech is one of the few open-source toolkits built specifically around Korean end-to-end speech recognition, and it fills a real gap because most ASR libraries of its era targeted English. It ships reference implementations of the major acoustic model families, including Deep Speech 2, Listen Attend and Spell, RNN-Transducer, Speech Transformer, Jasper, and Conformer, plus preprocessing recipes for the KsponSpeech corpus. That makes it a useful study aid for anyone learning how these architectures are wired together in PyTorch. Researchers and students who want to compare model architectures on Korean audio, or trace how CTC and attention-based decoders are implemented, will find the codebase readable and well documented. Note that the project is archived and the maintainer points to OpenSpeech for active training work, so treat KoSpeech as a reference and learning resource rather than a dependency for new production pipelines.