Timing Before Talking Explores Time Adapters for Voice AI

// 1h agoRESEARCH PAPER

Timing Before Talking Explores Time Adapters for Voice AI

Timing Before Talking is an open-source research preview exploring Time Adapters to enable low-latency turn-taking in spoken language models. The project introduces lightweight adapter architectures tailored for timing prediction to reduce conversational latency and improve interaction flow in voice AI systems.

// ANALYSIS

Solving turn-taking latency is essential for fluid voice interactions, and specialized time adapters offer a promising, lightweight approach to fixing conversational pacing in spoken language models.

–Focuses specifically on turn-taking timing rather than text or audio content generation.
–Employs Time Adapters to reduce model latency without requiring full model retraining.
–Addresses one of the biggest friction points in building natural, real-time conversational voice agents.

// TAGS

timing-before-talkingspeechspeech-modelslow-latencyturn-takingtime-adaptersopen-sourcellm

DISCOVERED

1h ago

2026-07-28

PUBLISHED

2h ago

2026-07-28

RELEVANCE

8/ 10

AUTHOR

onigirikila

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