Dynamic Buffering and Predictive Jitter Logic Can Fix Voice AI on Poor Networks

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A technical approach published on DEV Community outlines how voice AI systems can be made resilient under poor network conditions. Instead of using a fixed audio buffer, the method proposes a dynamic buffer that adjusts in real time based on packet loss levels. Predictive jitter logic is also recommended to anticipate network drops before they occur, rather than detecting them after the fact. The trade-off involves a slight increase in latency on weak connections, but the result is an AI voice agent that avoids stuttering or talking over callers. The authors note this is especially critical for outbound and support call deployments in rural and small-town India, where network instability is common.

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