Building a responsive voice assistant requires careful management of latency across several components, including network transmission, speech recognition, and text-to-speech synthesis. The largest contributor to perceived latency is often the endpointing silence, which can be adaptively adjusted based on the user's speech patterns and partial transcriptions. Optimizing prompt length is also crucial, as longer prompts directly increase the model's prefill time, a significant factor in overall response speed. AI
IMPACT Optimizing latency in voice assistants can improve user experience and drive adoption of AI-powered conversational interfaces.
RANK_REASON The item provides a technical guide for building a specific type of product, a voice assistant, focusing on implementation details and optimizations.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
