sooftware/conformer

Health v2 · maintenance only

Adoption not part of the score

1131 stars · 192 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An unofficial PyTorch implementation of the Conformer architecture (convolution-augmented Transformer) from the INTERSPEECH 2020 paper, targeting speech recognition. It provides model code only; training is delegated to the openspeech project.

Use cases

• implement conformer speech recognition model in pytorch
• build an asr encoder with convolution-augmented transformer
• use conformer blocks for audio sequence modeling
• experiment with state-of-the-art speech recognition architectures
• integrate a conformer encoder into my own speech model

When to choose

• you need the Conformer architecture in PyTorch without training infrastructure
• you want a lightweight, model-only library to plug into your own ASR pipeline
• you are reproducing or extending the INTERSPEECH 2020 Conformer paper

When to avoid

• you need a full end-to-end ASR training pipeline with datasets and checkpoints
• you want inference-ready pretrained speech recognition models
• you need non-PyTorch frameworks like TensorFlow or JAX

Facets

library · maturity active

machine-learning deep-learning speech-recognition speech-processing machine-learning deep-learning python pytorch conformer asr transformer speech-recognition model-implementation gpu

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For agents

markdown · JSON · MCP: product_card(name="sooftware/conformer")