sooftware/conformer
PyTorch implementation of the Conformer model for automatic speech recognition that combines transformer attention with convolutional layers.
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This repository provides a PyTorch implementation of the Conformer architecture from the INTERSPEECH 2020 paper. Conformer combines the global modeling capability of transformers with the local feature extraction of convolutional neural networks to process audio sequences. The model achieves state-of-the-art results in speech recognition tasks by efficiently capturing both local and global dependencies in speech signals. This is a model-focused implementation; training capabilities are available through the associated openspeech project.
Frequently asked
- What is sooftware/conformer?
- PyTorch implementation of the Conformer model for automatic speech recognition that combines transformer attention with convolutional layers.
- Is conformer open source?
- Yes — sooftware/conformer is open source, released under the Apache-2.0 license.
- What language is conformer written in?
- sooftware/conformer is primarily written in Python.
- How popular is conformer?
- sooftware/conformer has 1.1k stars on GitHub.
- Where can I find conformer?
- sooftware/conformer is on GitHub at https://github.com/sooftware/conformer.