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Zubin Pratap Jun 30, 2026
Turn detection is critical and distinct from ASR accuracy Read evidence ↗ IN CONTEXT Zubin Pratap 4 viewpoints
01 Turn detection is critical and distinct from ASR accuracy Zubin Pratap 2026-06-30 02 Select models by use-case performance, not lab benchmarks Zubin Pratap 2026-06-30 03 TTFS and TTCT as voice latency metrics Zubin Pratap 2026-06-30 04 WER is misleading without category-level analysis Zubin Pratap 2026-06-30 Equal sectors are reading positions, not rankings.
01 Turn detection is critical and distinct from ASR accuracy Zubin Pratap · 2026-06-30 02 Select models by use-case performance, not lab benchmarks Zubin Pratap · 2026-06-30 03 TTFS and TTCT as voice latency metrics Zubin Pratap · 2026-06-30 04 WER is misleading without category-level analysis Zubin Pratap · 2026-06-30 Showing 1–4 of 4 viewpoints · Newest sources first
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Turn detection is critical and distinct from ASR accuracy Turn detection, also called end pointing, detects when a user has finished their turn. The author describes it as extremely hard without visual or other human conversational cues, and says poor turn detection causes long pauses and high latency.
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Zubin Pratap · Jun 30, 2026
Cartesia | A Guide to Choosing Voice AI Models Original excerpt
Turn-detection is also known as end pointing – because it refers to detecting when the user has finished their turn. It is extremely hard to do accurately as Speech to Text models do not have visual or other cues like humans do in conversation. That makes high-quality turn detection incredibly important for conversational AI - poor turn detection results in very long awkward pauses and high latency in the voice agent’s conversation. Source & context
Publication dates describe the sources, not changes in belief.