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Working paper / 2026

MISTT

Multi-condition Impairment Speech-to-Text Bench

Abstract

Multi-condition Impairment Speech-to-Text Bench (MISTT) measures the speech-to-text models that voice agents depend on. Every model hears the same 2,999 frozen clips of voice-agent calls, doctor–patient consultations and five-language parliamentary speech, plus 400 degraded copies of 100 of them: phone lines, low-bitrate codecs, packet loss, background noise and an intelligible background talker. Streaming models are timed the way an agent waits on them, from the forced end of speech to the final transcript. Accuracy carries bootstrap confidence intervals, and the degraded copies are paired with their clean originals, so robustness is measured on the same words.

v0 · October 2026

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RE

Rumble-2 Realtime

Reson8 · Streaming · #3 of 47 streaming by English WER · reson8-rumble-2-realtime-stream

English WER

3.55%

95% CI 3.24% to 3.86%

TTFS p50 / p95

672 ms

p95 683 ms

$ / 1k audio min

$6.49

list $0.005981/min

Δ Severe

+4.4 pts

2.16% → 6.57% on 100 clips

Accuracy by dataset

English index3.55%3.24% – 3.86%
pipecat (voice-agent turns)1.74%1.54% – 1.96%
primock57 (doctor–patient)5.38%4.79% – 5.96%
Multilingual (de/fr/es/it pooled)11.74%10.66% – 12.78%
VoxPopuli English5.84%4.96% – 6.72%
VoxPopuli German10.67%9.33% – 12.19%
VoxPopuli French10.33%8.60% – 12.32%
VoxPopuli Spanish7.51%6.04% – 9.26%
VoxPopuli Italian18.23%15.68% – 20.90%

English substitutions 1.59%, deletions 1.30%, insertions 0.66% · raw (un-normalized) English WER 18.69% · hallucination 2.50% of clips · empty 0.00% · VoxPopuli CER 8.08%

Streaming latency

p50p90p95p99max
TTFS672 ms679 ms683 ms693 ms717 ms
TTFT649 ms901 ms1.12 s1.86 s6.37 s
TTFB1.11 s1.64 s2.07 s3.55 s6.87 s
Connection setup471 ms482 ms487 ms539 ms1.58 s

English WER@500 ms 3.58% (final 3.55%) · finals before t0 0.0% · fallback finals 0.0% · partial words later rewritten 15.0%

Robustness · same 100 clips

MixWERΔ pts (95% CI)WorseRank
Clean2.16%——#12
Light2.40%+0.2 (−0.2 to +0.7)7/100#7
Moderate5.81%+3.6 (+2.1 to +5.8)32/100#23
Severe6.57%+4.4 (+2.6 to +6.3)35/100#20
Crosstalk4.73%+2.6 (+1.4 to +3.8)32/100#2

Bleed 0.68% of background-talker words · ranks are out of 104 on the subset.

Configuration and pricing

Languages
en, de, fr, es, it
Finalize
{"type": "flush_request"}, ack = flush_confirmation
Config notes
Rumble-2: same endpoints as Resonant-1 with model=rumble-2.
Rate
$0.005981/min pay-as-you-go · billed on audio time
Effective
$6.49 per 1k audio min on this run · clean run cost $2.75
Pricing notes
Priced in EUR, credit-based plans; Prerecorded 1 credit/min, Realtime 2 credits/min, same for Resonant-1 and Rumble-2. Rate shown is the Launch plan (extra usage billed at the same rate).
Source
https://www.reson8.dev/#pricing · checked 2026-11-10
Clip outcomes
ok 2,999