Benchmarks

How Addis Scribe measures up
on Sidama speech.

Addis Scribe now transcribes Sidama, live and from uploads. We compared it with the Ethio-ASR models and Google Gemini on the same held-out natural speech, with the same scorer for every system. Ethio-ASR Sidaama is slightly ahead of us, and this page shows it.

Word error rate, live
33.6%
Ethio-ASR Sidaama, offline
33.0%
Google Gemini, best
76.0%
Released
2 November 2026
Summary

Two results on natural Sidama speech

Addis Scribe is within a point of Ethio-ASR Sidaama, the most accurate system here, and has less than half the errors of Google Gemini. It is the only system here that transcribes live.

Result 1

Within a point of Ethio-ASR Sidaama

On 150 WAXAL test clips, streaming in 1.12 s steps, Addis Scribe records 33.6% WER and 9.0% CER. Ethio-ASR Sidaama is slightly ahead at 33.0% WER and 7.3% CER, offline, and Ethio-ASR multilingual 600M records 34.3%.

Read the full accuracy tables
Result 2

Less than half the errors of Google Gemini

Given the whole clip, Google Gemini 3 Flash (preview) records 76.0% WER and Gemini Flash (latest) 81.5%.

Read the full accuracy tables
Accuracy

150 WAXAL clips: every system and mode

150 clips from the WAXAL Sidama test split, natural speech with human transcripts. Every system transcribed the same clips.

Word error rate

WAXAL Sidama, 150 clips, lower is better

0%10%20%30%40%50%Ethio-ASR SidaamaEthio-ASR Sidaama: 33.0%33.0%Addis Scribe (live)Addis Scribe (live): 33.6%33.6%Ethio-ASR multi 600MEthio-ASR multi 600M: 34.3%34.3%Addis Scribe (upload)Addis Scribe (upload): 35.0%35.0%Gemini 3 Flash (preview)Gemini 3 Flash (preview): 76.0%76.0%Gemini Flash (latest)Gemini Flash (latest): 81.5%81.5%Word error rate
Addis ScribeGoogleEthio-ASR, offline only

Character error rate

WAXAL Sidama, 150 clips, lower is better

0%5%10%15%20%Ethio-ASR SidaamaEthio-ASR Sidaama: 7.3%7.3%Ethio-ASR multi 600MEthio-ASR multi 600M: 7.7%7.7%Addis Scribe (live)Addis Scribe (live): 9.0%9.0%Addis Scribe (upload)Addis Scribe (upload): 10.2%10.2%Gemini 3 Flash (preview)Gemini 3 Flash (preview): 21.4%21.4%Gemini Flash (latest)Gemini Flash (latest): 36.6%36.6%Character error rate
Addis ScribeGoogleEthio-ASR, offline only

Every system and mode

SystemModeWERCER
Addis Scribe SidamaLive, 1.12 s chunks33.6%9.0%
Addis Scribe SidamaLive, 0.32 s chunks34.2%9.3%
Addis Scribe SidamaWhole file35.0%10.2%
Ethio-ASR SidaamaOffline33.0%7.3%
Ethio-ASR multilingual 600MOffline34.3%7.7%
Google Gemini 3 Flash (preview)Whole file76.0%21.4%
Google Gemini Flash (latest)Whole file81.5%36.6%

Bold marks the best value in each column. The charts cut the Gemini bars; their values are in the table. Addis Scribe has a higher character error rate than the Ethio-ASR models here, while its word error rate is within a point of the best.

Method

What was tested, and how each handles live audio

Addis Scribe streams live audio. The other systems were given the whole recording, so they are scored for accuracy only.

SystemLive audioHow it was run
Addis Scribe SidamaNative streamingStreams in 0.32 s or 1.12 s chunks through the Addis Scribe API, so text appears while people speak.
Ethio-ASR SidaamaOffline onlyNeeds the whole recording before it can answer. Scored for accuracy.
Ethio-ASR multilingual 600MOffline onlyNeeds the whole recording before it can answer. Scored for accuracy.
Google Gemini 3 Flash (preview)Offline onlyGiven the whole clip with a transcription prompt. No live mode, so scored for accuracy.
Google Gemini Flash (latest)Offline onlyGiven the whole clip with a transcription prompt. No live mode, so scored for accuracy.
Method

Test set and scoring rules

The test set is public. None of these test clips were used to train Addis Scribe.

Test setWhere to find itClipsWhat it measures
WAXALgoogle/WaxalNLPSidama test split, 150 of its 3,561 clipsNatural speech with human transcripts

Scoring

Every system on a set is scored with the same scorer and text normaliser, against the same human transcripts. WER is word error rate and CER is character error rate, both lower is better.

Limitations

What this run does not show

  • These results come from 150 clips of one public corpus. That is enough to rank systems with wide gaps, not to separate systems a point or two apart, such as Addis Scribe and Ethio-ASR Sidaama.
  • This page compares Addis Scribe with the Ethio-ASR models and Google Gemini only.
  • This page reports accuracy only. Live latency was not measured for Sidama.
  • Unlike the Amharic and Afaan Oromo runs, the per-clip transcripts for this run are not in the public benchmark folder yet.

Transcribe Sidama with the API

Add language=sid to a Scribe upload, live session or long-file job. Uploads, live streaming, word timestamps, captions and speaker labels all work in Sidama, at the same per-character price as Amharic. Sidama text comes back in lowercase without punctuation; an apostrophe marks the glottal stop.