conformer and Conformer
These are direct competitors—both are independent PyTorch implementations of the same Conformer architecture paper, with the sooftware version being more established (50x more stars) and thus the stronger choice for most users.
About conformer
sooftware/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Combines convolution layers and multi-head attention to capture both local acoustic features and long-range dependencies in a parameter-efficient architecture. Integrates with CTC loss for end-to-end training on speech recognition tasks, with model-only code designed for use in larger training frameworks like OpenSpeech.
About Conformer
msalhab96/Conformer
An implementation for "Conformer: Convolution-augmented Transformer for Speech Recognition" Paper
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