conformer and conformer-ctc
These are competitors: both implement the same Conformer architecture for speech recognition, but in different frameworks (PyTorch vs. TensorFlow 2.0), forcing users to choose based on their preferred deep learning platform.
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-ctc
will-rice/conformer-ctc
TensorFlow 2.0 Implementation of Conformer CTC
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