Speech recognition
Speech recognition converts spoken language into text, and increasingly into structured intent, using neural models trained on large audio corpora. Related systems handle speaker identification, translation, and natural voice synthesis.
It is the most natural interface between people and machines, enabling hands-free control, real-time translation, accessibility, and voice-driven scientific instruments.
Accuracy in clean conditions now rivals humans; accents, noise, low-resource languages, and understanding meaning rather than just transcribing words are the remaining challenges.
The discovery loop, applied.
Through the Computational Discovery center, ASIZ aims the discovery loop at speech recognition: frontier models survey the literature and simulate the possibilities, rank the experiments most likely to resolve the open questions, and partner labs run the decisive ones — with results shared openly.