# Canto launch evaluation: Voice Benchmark Profile

> Wispr’s September 17, 2026 launch post reports word error rates for Canto against five competing transcription systems on two private dictation sets and three public English datasets.

- Scope: 10 hours of opt-in Wispr Flow dictations from 2,300+ speakers, a 3-hour audio challenge set (noisy, low-volume, and short-utterance audio), and the English subsets of FLEURS, LibriSpeech, and Common Voice
- Measurement lanes: Voice experience
- Primary metric: Word error rate (lower is better)
- Available evidence: Exact figures labelled on the charts in the official launch post; the two dictation sets are private to Wispr
- Owner: Wispr Advanced Interfaces Lab
- Source snapshots refreshed: 2026-09-18

## Interpretation limit

Wispr ran every system in this comparison itself, and the two headline sets are its own unreleased dictation data, so the results are not independently reproducible. Competitor runs used no contextual prompting, which is not how several of them are deployed, and the challenge-set winner (Gemini 3.1 Pro) is a frontier multimodal model Wispr describes as unsuitable for real-time dictation.

## Primary sources

- [Owner page](https://wisprflow.ai/canto)

Canonical page: https://benchlm.ai/voice-benchmarks/wispr-canto-launch-evaluation