SeanNaren/deepspeech.pytorch

Health v2 · maintenance only

Adoption not part of the score

2136 stars · 618 forks observed · 2026-08-28

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

A PyTorch implementation of the DeepSpeech2 speech recognition model, built on PyTorch Lightning, supporting training, testing, and inference. It includes dataset preparation scripts for common speech corpora and optional beam-search decoding with a kenlm language model.

Use cases

• train a speech-to-text model in pytorch
• transcribe audio with deepspeech2
• fine-tune asr on custom dataset
• run speech recognition inference with language model decoding
• train on librispeech or common voice

When to choose

• you want a proven DeepSpeech2 implementation in PyTorch
• you need training scripts for standard ASR datasets like LibriSpeech or Common Voice
• you want optional kenlm beam-search decoding

When to avoid

• you need state-of-the-art ASR accuracy from modern architectures
• you want an actively developed project with frequent updates
• you need a production-ready hosted speech API

Facets

library · maturity maintenance

speech-recognition machine-learning deep-learning audio-processing speech-processing machine-learning deep-learning python pytorch deepspeech2 asr pytorch-lightning ctc speech-to-text kenlm linux docker gpu

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markdown · JSON · MCP: product_card(name="SeanNaren/deepspeech.pytorch")