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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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Inworld STT-1 Streaming

Inworld · Streaming · #35 of 47 streaming by English WER · inworld-stt-1-stream

English WER

5.50%

95% CI 5.15% to 5.90%

TTFS p50 / p95

123 ms

p95 150 ms

$ / 1k audio min

$2.71

list $0.0025/min

Δ Severe

+10.0 pts

4.54% → 14.51% on 100 clips

Accuracy by dataset

English index5.50%5.15% – 5.90%
pipecat (voice-agent turns)4.53%4.18% – 4.90%
primock57 (doctor–patient)6.46%5.75% – 7.16%
Multilingual (de/fr/es/it pooled)14.67%13.33% – 16.10%
VoxPopuli English7.43%6.43% – 8.42%
VoxPopuli German12.40%11.11% – 13.86%
VoxPopuli French13.07%11.00% – 15.33%
VoxPopuli Spanish11.73%8.75% – 15.38%
VoxPopuli Italian20.73%18.15% – 23.43%

English substitutions 1.90%, deletions 1.21%, insertions 2.38% · raw (un-normalized) English WER 19.99% · hallucination 4.27% of clips · empty 0.00% · VoxPopuli CER 9.34%

Streaming latency

p50p90p95p99max
TTFS123 ms141 ms150 ms178 ms6.63 s
TTFT818 ms1.12 s1.14 s1.15 s9.76 s
TTFB211 ms1.12 s1.13 s1.43 s2.76 s
Connection setup161 ms218 ms241 ms360 ms459 ms

English WER@500 ms 5.53% (final 5.50%) · finals before t0 0.0% · fallback finals 0.0% · partial words later rewritten 16.4%

Robustness · same 100 clips

MixWERΔ pts (95% CI)WorseRank
Clean4.45%——#83
Light4.61%+0.2 (−2.4 to +1.7)28/100#72
Moderate11.34%+6.9 (+4.1 to +9.8)70/100#75
Severe14.51%+10.0 (+5.8 to +14.3)68/100#84
Crosstalk8.17%+3.7 (+1.0 to +6.3)47/100#19

Bleed 1.35% of background-talker words · ranks are out of 104 on the subset.

Configuration and pricing

Languages
en, de, fr, es, it
Finalize
{"endTurn":{}}, ack = next isFinal transcription
Rate
$0.0025/min pay-as-you-go · billed on audio time
Effective
$2.71 per 1k audio min on this run · clean run cost $1.15
Pricing notes
Same rate for sync and streaming. Paid plans (Creator/Builder/Developer/Growth) $0.10/hr = $0.001667/min. Billing granularity not published.
Source
https://inworld.ai/pricing · checked 2026-10-19
Clip outcomes
ok 2,998 · timeout 1