flashlight/wav2letter

Facebook AI Research's Automatic Speech Recognition Toolkit

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Established

Built on the Flashlight machine learning framework, wav2letter++ implements end-to-end ASR with support for multiple architectures including ConvNets, sequence-to-sequence models with time-depth separable convolutions, and lexicon-free recognition. The toolkit includes reproducible recipes for state-of-the-art systems covering supervised, semi-supervised, and self-training approaches with pre-trained models. Development has consolidated into Flashlight's ASR application module for unified maintenance.

6,446 stars.

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Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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6,446

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997

Language

C++

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Last pushed

Jan 12, 2026

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