Valeria Wu

Product Manager

Google DeepMind

Valeria Wu is a Product Manager at Google DeepMind for the Gemini Live model, driving the development of real-time, speech-to-speech AI agents. A graduate of the Google APM program, she previously worked on the Pixel AI team and was part of the founding team at Cometa, an ed-tech startup in Latin America. Valeria studied Symbolic Systems (CS, Neuroscience, and Philosophy) at Stanford University, where she focused on human-centered AI. Originally from Lima, Peru, she is a single-digit golfer and a dedicated foodie.

Sessions (1)

Speech-to-Speech Model Research at Google DeepMind

11:10 AM·Track 6 · Room 2014

Most voice interfaces today are built as a 3-way cascade system (ASR/LLM/TTS). While functional, this cascaded approach introduces latency bottlenecks, strips away non-verbal nuance, and limits emotion-aware, multi-turn dialogue. Today, we are witnessing a profound shift toward native speech-to-speech models that process audio natively from end to end. In this session, we’ll explore the exciting paradigm at Google DeepMind to train speech-to-speech models for real-time voice agents. We will cover the high-level product and research challenges of building voice agents that feel truly conversational, optimizing for fluid turn-taking and low latency while maintaining enterprise-grade intelligence. Speakers: Valeria Wu — Google DeepMind; Tom Ouyang — Google DeepMind.

Voice & Realtime AIintermediatetalk