Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native

This post introduces wav2letter++, a fully convolutional end-to-end speech recognition system that achieves state-of-the-art performance, and flashlight, a native machine learning library for CPU and GPU backends. Wav2letter++ leverages CNNs for acoustic and language modeling, offering an alternative to recurrent architectures. Flashlight is designed for performance and flexibility, enabling fast iteration and reproducibility for AI research and model tuning.