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Valeria Wu Fon

Conference affiliation: Google DeepMind

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Valeria Wu Fon is credited with Google DeepMind in a recorded presentation with Tom Ouyang on speech-to-speech models. Their talk explores tradeoffs among conversational latency, task performance and multimodal interaction.

valeriawu ↗@valeriawu_ ↗

1 conference talk

16:42

Speech-to-Speech Model Research at Google DeepMind — Valeria Wu Fon & Tom Ouyang, Google DeepMind

Valeria Wu Fon and Tom Ouyang describe Gemini speech-to-speech research, tracing the transition from specialized speech-recognition pipelines to models trained jointly on audio, video, and text. They frame the central challenge as balancing conversational latency, task intelligence, and multimodal interaction. Embedded demonstrations illustrate streaming…

Valeria Wu Fon · Tom Ouyang

References

  • ai.engineer/talks/18Um2VjMM_g-speech-speech-model-research-at-google-deepmind ↗

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