Auto71%Harbor: pendingMultimodalMultilingual

DuplexAct-Bench

DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements

A bilingual benchmark evaluating full-duplex speech systems on six interaction behaviors (interruption, yielding, silence, etc.) under three contextual conditions using 1,290 streaming trials.

How to run

ltb · duplexact-bench
$ npm i -g lettokenburn-cli
$ ltb bench info duplexact-bench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

12 sourced entries
HarnessSourceConfidenceLink
GPT Realtime 2.1100.0N/AIndependentmediumSep 30, 2026arxiv.org
Grok Voice100.0N/AIndependentmediumSep 30, 2026arxiv.org
MiniCPM-o 4.596.3N/AIndependentmediumSep 30, 2026arxiv.org
Qwen3.5-Omni96.3N/AIndependentmediumSep 30, 2026arxiv.org
Freeze-Omni88.8N/AIndependentmediumSep 30, 2026arxiv.org
PersonaPlex88.8N/AIndependentmediumSep 30, 2026arxiv.org
Gemini 2.5 Native Audio76.3N/AIndependentmediumSep 30, 2026arxiv.org
Moshi75.0N/AIndependentmediumSep 30, 2026arxiv.org
Raon-SpeechChat67.5N/AIndependentmediumSep 30, 2026arxiv.org
DuplexCascade27.5N/AIndependentmediumSep 30, 2026arxiv.org
VITA-1.527.5N/AIndependentmediumSep 30, 2026arxiv.org
Nemotron 3 VoiceChat0.0N/AIndependentmediumSep 30, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

Content & Construction: DuplexAct-Bench is a bilingual evaluation suite covering six complementary real-time interaction behaviors across Pre-session, In-session, and No-explicit contexts. It comprises 1,290 English and Chinese streaming trials involving user utterances drafted by GPT-5.6 and rendered via ViiTorVoice with realistic background noise.

Scoring & Findings: Systems are scored on Content (semantic fulfillment, constraint adherence) and Timing (latency metrics). Results reveal substantial variation across behaviors and conditions, highlighting frequent mismatches between semantic quality and behavioral timing in current systems.