end2end-asr-pytorch and OpenASR
These are competitors—both implement end-to-end ASR architectures in PyTorch with similar scope, so users would select one based on architecture preference (e.g., attention-based vs. CTC) and code maturity rather than using them together.
About end2end-asr-pytorch
gentaiscool/end2end-asr-pytorch
End-to-End Automatic Speech Recognition on PyTorch
Implements a low-rank Transformer encoder-decoder architecture with optional CNN feature extractors (VGG or embedding-based) for sequence-to-sequence ASR. Supports multi-GPU batch parallelization and flexible training across multiple datasets with configurable beam-search decoding, achieving 13.5% CER on Mandarin Chinese with beam width 8. Compatible with PyTorch and torchaudio, accepts custom datasets via CSV manifests with character-level labeling.
About OpenASR
by2101/OpenASR
A pytorch based end2end speech recognition system.
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