Conformer (ESPnet)
Convolution-augmented transformer for speech recognition in ESPnet toolkit.
About
Conformer is a speech recognition architecture that augments transformers with convolution modules to capture both global and local audio features, reaching strong recognition accuracy. It is implemented in ESPnet, an end-to-end PyTorch speech toolkit that also covers text-to-speech, speech translation, enhancement, and diarization. Released under the Apache 2.0 license.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Advanced (4/5)
- License
- Apache-2.0
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
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