PERIT-STT · Telecom

Plan changes, SIM swaps and outage triage, mostly over mobile lines that drop mid-sentence.

Audio comes from inbound support calls, retention desks, field escalations. Scored on word error rate, with a working telecom operator as the control.

1,240
Clips in the target held-out set
96h
Audio, never published
7
Languages in the set
1
Working telecom operator as control

Leaderboard

Illustrative figures. Public runs begin when the held-out sets close.
ModelWord error rate (%)Entity accuracyDiarization error
Human control · sector transcriptionistHuman control
2.8 ± 2.1
98.8%2%
Frontier ASR · lab AFrontier
7.2 ± 0.8
91%9.8%
Specialist vendor ASRSpecialist
8.0 ± 1.7
88.9%9.1%
Frontier ASR · lab BFrontier
9.5 ± 1.4
86.8%10%
Frontier multimodal · lab CFrontier
10.4 ± 0.9
83.1%10.8%
Open weights · 8BOpen weights
18.0 ± 1.6
80%17.8%
Task families

What the set actually asks for.

  • Verbatim transcription
  • Entity capture (IDs, amounts, names)
  • Speaker diarization
  • Code-switching
  • Noisy & far-field audio
  • Domain vocabulary
Method & limits

How a run on this set is produced.

  1. 01Audio is held out and never published. A 60-clip development split per sector is open for calibration.
  2. 02Reference transcripts are written by two annotators independently; a senior reviewer adjudicates every disagreement.
  3. 03Each clip is run 3 times per model. Reported intervals are bootstrapped at 95%.
  4. 04Human control is a working transcriptionist from the same sector, timed and paid at market rate.

Limits, stated up front: 7 languages only, single-channel audio, and no cross-sector transfer. The control is one operator per sector, so the human line carries its own error bar — it is a working standard, not a ceiling.