Speech-to-Retrieval (S2R): A new approach to voice search
Google Research
Google developed Speech-to-Retrieval (S2R), a system that maps spoken queries directly to relevant documents without converting speech to text first, avoiding transcription errors that plague traditional voice search. The S2R model uses a dual-encoder architecture with an audio encoder and document encoder trained on paired audio queries and documents, and Google evaluated it on the Simple Voice Questions dataset across 17 languages and 26 locales. The S2R system significantly outperforms traditional cascade speech-recognition-based models and is now serving users in multiple languages, with Google open-sourcing the SVQ dataset to advance the research field.
Why it matters
Machine Intelligence
