A broad web search as of 2026-09-02 surfaced 216 publicly discoverable named voice-AI benchmark, leaderboard, arena and challenge series — the 28 STT/ASR series from the prior report plus 188 more, spanning speech generation, voice agents, safety, speaker tasks, speech quality and audio language models. 127 series carry an identifiable public date; 89 are undated on the discovered source.
| Benchmark | Task · measures · scope | Vendors / projects represented | Last update · source |
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Method: "all" means all named public comparative voice-AI benchmarks, leaderboards, arenas, benchmark suites, recurring challenges/shared tasks, and notable reproducible public benchmark studies discoverable in a broad web search as of 2026-09-02 — 216 series across STT/ASR; TTS, speech generation, cloning and conversion; speech-to-speech, full-duplex, voice agents and spoken dialogue; spoken/audio language models; speaker verification and diarization; emotion, accent, paralinguistics, VAD and keyword detection; speech quality, enhancement, separation and codecs; and deepfake/spoof detection, watermarking, privacy and anonymization. Excluded: bare datasets without a benchmark protocol or results, generic metrics, single-model evaluations, untested product listicles, pricing-only pages, music-only or environmental-audio-only evaluations, and private tests. There is no universal registry, so web-wide completeness cannot be guaranteed; unindexed, private, renamed or removed benchmarks may be missing. Annual editions and obvious aliases were merged into series where possible. Dates are stated benchmark/repository dates when available, otherwise the latest relevant public page or report date found; "undated" means no reliable update date was exposed, not that the benchmark changed on the cutoff. Some source pages are papers or secondary pages where the primary leaderboard was not indexable. Evidence-page count is a discovery/corroboration signal, not a quality score, and benchmarks are not ranked by it. Blank fields are preserved as found.