Talking Computers

Founded by Zayaan Mulla

Build fast multimodal interaction models for natural voice agents

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You can use Talking Computers to create conversational voice agents that respond instantly and naturally. The research lab designs multimodal interaction models that sit between foundation models and end users, focusing on minimal delay before generating speech tokens. This approach allows software to handle spoken conversations with natural pacing, interruptions, and contextual awareness. Developers and teams can implement these models across public-facing services, healthcare, legal workflows, and robotics where human-level voice conversation and fast audio response times are necessary to assist people effectively.

What Talking Computers does

Generate conversational speech responses with minimal latencyHandle user interruptions smoothly during ongoing voice outputsProcess incoming voice audio and convert it to rapid responsesInterface foundation language models with audio synthesis layersDeploy low-latency voice models into custom application pipelinesMeasure and reduce time to first audio token for conversational botsMinimizes time to first audio token for instant conversational repliesTranslates foundation model outputs into natural voice interactionsProcesses multimodal inputs including speech and conversational cuesEnables fluid turn-taking without awkward pausesConnects foundation models directly to spoken interaction layersHandles spoken voice interruptions naturally during conversations