vosk

Why we included this project

This repository is the server-side core of the Vosk speech family, built around a lifelong-learning view of recognition. Rather than a conventional neural acoustic model, it fingerprints short audio chunks, stores them in an LSH-hashed signal database, and infers phones by looking those chunks up during decoding. That design lets it train on very large speech corpora on modest hardware, and you can correct or extend its behavior simply by adding more samples. Teams exploring retrieval-based or continually updated ASR will find the Python indexing and verification scripts a useful starting point, though this is research code: the index is huge, generalization is still questionable, and the packaged production API lives in the companion vosk-api project.