Angaben zum Datum
Datum aus der Quelle.
Erstmals gesehen am .
Canto: das erste eigene Sprachmodell von Wispr Flow
Wispr Flow läuft jetzt für alle Nutzer auf Canto, dem ersten selbst entwickelten Sprachmodell, das laut Anbieter bei realen englischen Flow-Aufnahmen die niedrigste Wortfehlerrate der getesteten Modelle erreicht.
Flow now runs on Canto, the first speech model we've built ourselves. It's now rolled out for everyone, with nothing to switch on.
Most speech models are trained and tested on clean audio recorded in quiet rooms with good microphones. That isn't where people use Flow. You're on a train, in an open office, walking between meetings, or talking quietly so you don't disturb anyone. Canto was built and measured against those conditions instead.
On our evaluation of real-world English Flow recordings, 9.8 hours from more than 2,300 speakers, Canto had the lowest word error rate of every model we tested, including models from Google, OpenAI, AssemblyAI and Deepgram.
On a separate set built to stress-test the hardest audio, with background conversation, music, traffic, wind and whispered speech, Canto was the most accurate of the real-time models we tested.
We're already training its successor at more than ten times the scale, with better recognition in difficult conditions and broader language coverage ahead.
Read the full research post here.
September 15, 2026