wav2letter
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
What is wav2letter?
wav2letter++ is Facebook AI Research's automatic speech recognition toolkit that implements state-of-the-art end-to-end speech recognition models using fully convolutional neural networks. It provides recipes and pre-trained models for reproducing research results and building production ASR systems. The toolkit focuses on efficiency, scalability, and supports both streaming and offline speech recognition.
AI researchers and engineers working on speech recognition systems, particularly those interested in end-to-end models, convolutional architectures, and reproducible research implementations.
Developers choose wav2letter++ for its production-ready implementation of cutting-edge ASR research, fully convolutional architecture that offers performance advantages over recurrent models, and comprehensive recipes that reproduce published paper results with pre-trained models.
Overview
Facebook AI Research's Automatic Speech Recognition Toolkit
Use Cases
Best For
- Reproducing state-of-the-art speech recognition research papers
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