Voice Activity Detection Libraries for Streaming Voice AI
Neural models outperform rule-based detectors in noise while keeping real-time performance intact.
Kai Park
Section
6 stories in Conversational Voice.
Neural models outperform rule-based detectors in noise while keeping real-time performance intact.
Real-time diarization needs better metrics than DER to match what users actually see.
Real-world noise cuts detection accuracy in half compared to clean benchmarks.
Most voice AI misses the 300ms human response window by five times over.
Voice agents need completely new turn-taking models for multiparty conversations.
Real-time barge-in requires coordinating five technical stages, each with its own failure mode.